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Are you passionate about building smart data systems that power big decisions? We're looking for a Data Engineer who's ready to roll up their sleeves and help us take our data platform to the next level. If you thrive on solving complex problems, designing clean data flows, and making data work harder (and smarter) — let's talk. Get to know GreenStone Our $16 billion portfolio of customers, ranging from rural homeowners to global agriculture and food businesses, provides our employees with a unique opportunity to maintain a local presence while working for a top workplace. Our diverse business structure provides exciting opportunities for passionate, talented professionals in many areas. Additionally, many of our team members are highly respected in their area of expertise at both the state and national level making GreenStone one of the top Farm Credit associations in the country. Culture Core Four values steer everything we do at GreenStone. Customer First, Deliver Quality, Get involved, Do the right thing. Employees work as a team to create a company fueled by the desire to best serve each other and our customers every day. Greenstone culture promotes innovative thinking, professional development, health and wellness, and a relaxed work environment with flexible schedules. What can we offer you? GreenStone trusts the people we hire. We empower employees to make the best decisions for the customer and the company. GreenStone has an outstanding Total Rewards package, which includes, but is not limited to: 15 vacation days, 12 sick days, and 12 paid holidays per year 16 hours of volunteer time Paid parental leave 401(k) plan – up to a 9% employer contribution/match Medical, Dental, Vision, STD, LTD, Life/AD&D benefits, etc. $150/year Logo Wear allowance $400/year Wellness Subsidy/Reimbursement & wellness programs $6,000 lifetime maximum Student Debt repayment program Yearly bonus/incentive opportunity available to all benefit eligible employees What You'll Do: Design and build scalable, secure, and resilient data pipelines that make data flow smoothly from source to insight. Own and enhance our enterprise Business Intelligence platform — making sure it's optimized, reliable, and future-ready. Partner with Finance and IT teams to turn raw data into meaningful stories and actionable insights. Lead the charge on ETL processes (designing, managing, tuning, and monitoring) to keep our data world in motion. Be a performance guru — optimizing queries, tuning databases, and staying a step ahead of bottlenecks. Automate reporting workflows, ensure data quality, and bring fresh thinking to every step of the data journey. Keep us on the bleeding edge — exploring new technologies and stream-processing systems in cloud environments (AWS or Azure). Maintain top-notch documentation and follow best practices in data warehousing, security, and compliance. What Experience can you Bring? Bachelor's degree in Computer Science, Information Systems, Business Administration, Finance, or a related field is required. 1+ years of professional experience developing data warehouses is required. Experience working with Microsoft BI tools (SSIS, SSAS, SSRS, Power BI) Strong in SQL programming and Kimball data warehouse modeling. Master of the Databricks platform and Python programming, certifications preferred A team player mindset — you listen, collaborate, and help make others better. Tech You'll Use: Microsoft BI Platform (SSIS, SSAS, SSRS, Power BI) Azure / AWS Databricks, Delta Lake, Lakehouse, Unity Catalog Python programming SQL Server, ETL frameworks, Data Lakes Agile tools + modern collaboration platforms Why You'll Love It Here: Impact: Your work directly influences critical business decisions. Growth: Learn new tools, explore new ideas, and evolve your career in a supportive environment. Culture: Collaborative, inclusive, and innovation-driven. Flexibility: Hybrid and remote work options to support your best work style. GreenStone Farm Credit Services is an equal opportunity employer. It is our policy to provide equal employment opportunity to all persons regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, or any other characteristic protected by law. We comply with all federal, state and local equal employment opportunity regulations. We conduct all personnel decisions and processes relating to our employees and job applicants in an environment free of discrimination and harassment.

Our Company Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Position Summary As a Senior Data Engineer on the (Input Required) team at Optum Technology, you will lead the design and development of scalable, cloud-native data pipelines and machine learning data architectures on Azure and Databricks. In this role, you will build data integration routines using PySpark, Delta Lake, and Azure Data Factory, while collaborating with Data Science and AI teams to operationalize ML models, feature stores, and streaming analytics frameworks. You will leverage enterprise-approved AI tools to automate workflows, establish reusable engineering accelerators, and ensure data quality, security, and responsible AI implementation across high-volume healthcare data ecosystems. You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities Design and develop scalable ETL/ELT data pipelines using Databricks, Apache Spark, and Python on Azure cloud platforms Build cloud-native data solutions leveraging Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Delta Lake architecture Collaborate with Data Science and AI teams to operationalize machine learning models, feature stores, model input pipelines, and real-time/streaming frameworks Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI Build reusable frameworks, engineering accelerators, and automation scripts to improve engineering efficiency and delivery quality Ensure data quality, governance, security, and compliance across the complete data lifecycle Optimize the performance, scalability, and cost-efficiency of batch and streaming data workflows, including Databricks Delta Live Tables (DLT) Participate in Agile development practices (sprint planning, code reviews, CI/CD automation with GitHub Actions or Azure DevOps), and provide production support/on-call coverage to ensure system stability Leverage enterprise-approved AI tools to streamline software engineering workflows, automate tasks, and drive continuous operational improvement Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications 4+ years of experience in Data Engineering developing with Python and PySpark 4+ years of experience building scalable ETL/ELT data pipelines using Databricks 4+ years of experience working within Agile/Scrum project environments 4+ years of hands-on experience with Azure Databricks and Delta Lake architecture 4+ years of experience implementing CI/CD pipelines using GitHub Actions or Azure DevOps 3+ years of hands-on experience with Azure cloud services, including Azure Data Factory (ADF) or Azure Data Lake Storage (ADLS) 2+ years of experience with unit testing, data validation, and pipeline testing frameworks Preferred Qualifications Bachelor's or higher degree in Computer Science, Engineering, Information Technology, or a related field Experience building, operationalizing, or deploying machine learning models, feature stores, and AI-powered data pipelines Experience with real-time and streaming analytics frameworks (e.g., Spark Structured Streaming, Event Hubs, Kafka) Knowledge of enterprise data governance, security masking, access control policies, and data quality frameworks Experience building reusable automation frameworks, Docker containers, or Kubernetes orchestration workflows Strong self-starter with a proven track record of managing technical deliverables independently and taking end-to-end ownership 4+ years of experience writing complex SQL / PL-SQL queries and data transformations 2+ years of experience working with Databricks Delta Live Tables (DLT) All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. #RPO, #GREEN

We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We're seeking a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. You will also have a key role in modeling the Core Data Domain to best support various access patterns and use-cases. Key Responsibilities Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. Design and architect data infrastructure analytical workloads Understanding of data warehousing concepts, dimensional modeling, and building data marts. Required Qualifications Strong proficiency in SQL and experience in developing complex queries Experience in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in developing complex queries Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP) Knowledge of data governance best practices in a cloud environment. Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Preferred Qualifications Experience with machine learning flows on GCP Experience working with healthcare data (Tuva or OMOP Models a plus) Education Bachelor's degree preferred/specialized training/relevant professional qualification. Anticipated Weekly Hours 40 Time Type Full time Pay Range The Typical Pay Range For This Role Is $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great Benefits For Great People We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 10/09/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Overview Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. We're moving with urgency to become a Next Gen Good Neighbor, with technology that strengthens human connections and enhances the customer experience. As an employee, you'll spend less time navigating systems and more time applying judgment, empathy, and expertise in the moments that matter most. HYBRID Qualified candidates must live within close proximity to a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment . HUB LOCATIONS: Bloomington, IL; Richardson, TX; Tempe, AZ; or Dunwoody, GA SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity. Responsibilities State Farm is building the next generation of AI-powered business solutions, and data is at the center of that transformation. The Power Platform team is looking for a Mid-Level/Lead Data Engineer who is passionate about building modern, scalable data solutions that enable automation, analytics, AI-powered experiences, and intelligent applications across the enterprise. Our team works closely with Microsoft engineering and product teams to evaluate and enable emerging technologies. In this role, you'll help design and deliver scalable, secure, and governed data solutions that support Microsoft Power Platform, AI, Microsoft Fabric, Dataverse, and other cloud technologies. This is an opportunity to help shape the data foundation supporting modern application development, automation, analytics, and AI at enterprise scale. Some Responsibilities May Include: Design, build, and maintain scalable data pipelines, integrations, and data solutions. Develop reusable data products that support AI, Power Platform, analytics, reporting, and enterprise automation. Engineer data solutions that support AI and generative AI use cases, including the preparation, integration, and delivery of trusted enterprise data for intelligent applications. Partner with software engineers, architects, citizen developers, and business partners to design and deliver trusted data solutions. Transform, cleanse, profile, and validate structured, semi-structured, and unstructured data from enterprise and external sources. Apply DataOps practices including source control, automation, monitoring, testing, continuous integration and continuous delivery (CI/CD), and deployment. Design solutions that integrate data from application programming interfaces (APIs), databases, software-as-a-service (SaaS) platforms, and enterprise systems. Support secure, governed, and compliant data solutions aligned with enterprise standards. Contribute to modern cloud data architecture and evaluate emerging technologies that improve engineering productivity and platform capabilities. Help establish reusable patterns and engineering best practices for enterprise data solutions. Why Join Our Team? Work with Microsoft engineering and product teams as we evaluate and enable emerging technologies. Help shape the future of AI, Power Platform, data, and enterprise automation at State Farm. Build reusable platform capabilities that enable thousands of builders across the organization. Contribute to modern enterprise architecture and engineering practices. Join a collaborative team focused on innovation, enablement, experimentation, and continuous learning. Qualifications We Are Seeking Candidates With: 3+ years of professional data engineering experience, including designing and building production data pipelines, integrations, or data solutions. 3+ years of experience with SQL, including querying, data transformation, and data modeling. 2+ years of experience using Python for data engineering, automation, data transformation, or pipeline development. 2+ years of experience with modern cloud data technologies, such as Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Snowflake, or comparable cloud data platforms. Experience applying modern DataOps and software engineering practices, including version control, automated testing, CI/CD, and deployment. Experience working with structured, semi-structured, and unstructured data. Strong analytical and problem-solving skills with the ability to independently investigate and solve technical problems. Strong written and verbal communication skills and the ability to collaborate across technical and business teams. Additional Skills That Will Help You Stand Out Experience with one or more of the following is beneficial: Microsoft Power Platform Databricks Microsoft Dataverse Microsoft Fabric and OneLake Microsoft Graph Microsoft Foundry or Azure OpenAI Data engineering supporting AI or generative AI applications Lakehouse architecture Power BI semantic models and enterprise analytics REST APIs and event-driven architectures Microsoft Azure certifications Our Benefits Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week! Potential starting salary range: $90,000 - $150,000 Starting salary will be based on skills, background, and experience. *High end of the range limited to applicants with significant relevant experience* Potential yearly incentive pay up to 14% of base salary At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family! Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus. Stay Well! Focus on you and your family's health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more! Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring. Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union! Take a Little "You" Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you! Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund. Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary. Visit our State Farm Careers page for more information on our benefits , locations , and the hiring process of joining the State Farm team!

Factor_, a HelloFresh brand, is looking for you as an Operational Excellence Lead (m/f/d). As Operational Excellence Lead, you will lead the OpEx team at our food production site and drive the continuous improvement of our production and business processes. With a strong focus on efficiency, quality, and sustainability, you'll apply Lean and WCM methodologies to deliver measurable improvements — both strategically and operationally. You will… Drive impactful Operational Excellence initiatives across the site, identifying opportunities to improve efficiency, quality, productivity, and cost Lead cross-functional improvement projects from idea to implementation , using Lean Six Sigma and structured problem-solving to deliver sustainable results Partner with teams across Production, Quality, Engineering, and Supply Chain to challenge existing processes, develop solutions, and turn improvement opportunities into action Use data and operational insights to identify root causes, track performance, and make improvement opportunities visible , supporting fact-based decision-making Act as a trusted Operational Excellence expert and sparring partner for operational teams and senior stakeholders, bringing new ideas and best practices to the organisation Build and scale a culture of continuous improvement by facilitating workshops, sharing knowledge, and enabling teams to solve problems effectively and sustainably Own and shape your improvement agenda , balancing strategic projects with emerging opportunities in a dynamic, fast-paced production environment You have… A university degree in Engineering, Operations Management, or a related discipline 5+ years of experience in Operational Excellence, Continuous Improvement, Process Engineering, or a similar role, ideally within a manufacturing or food production environment Proven experience driving cross-functional improvement projects and turning ideas into sustainable, measurable results Strong knowledge of Lean Six Sigma methodologies and structured problem-solving; Green Belt certification is a plus Strong analytical and stakeholder management skills, with the ability to use data to influence decisions and drive change across teams Fluent in German and English, with a proactive, hands-on mindset and a passion for continuous improvement Why you'll love it here: Growth & Development: Internal training opportunities plus a yearly Learning & Development budget. Food & Lifestyle: Discounts on Factor_-boxes. Compensation: Competitive salary and 30 days of vacation. Health & Well-being: Access to well-being initiatives, with discounted fitness offers currently being rolled out. Future Benefits: We're working on introducing additional perks, including mobility support and a company pension scheme, to give our team even more flexibility and security. Hungry for More? Apply now with your complete application documents. We welcome applications without a photo and without information regarding nationality, gender, or other personal characteristics. You are also welcome to include language certificates and documentation confirming your right to live and work in the respective country. We look forward to getting to know you! #JD1001 #factor #basecampproduction Find Jobs in Germany on Arbeitnow

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Position Location: This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA Please Note: This position will include supporting our US Regulated Markets. "This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. About The Team We are seeking a Staff Software Engineer (IC4 Level) to join our Data Platform Engineering organization. You are a strong hands-on contributor who will own well-scoped components and projects within the team and deliver them end-to-end. What You Get To Do In This Role You will design, build, and operate components and services within the cloud-native platform, taking features from design through to production. You will lead well-scoped projects within your team, turning requirements and rough ideas into solid technical designs and delivering them. You will collaborate with senior, staff, and principal engineers to align your work with the platform's architecture and standards. You will contribute to the reliability, scalability, and operability of what you build — writing tests and instrumentation, improving runbooks, and participating in on-call. You will spend most of your time hands-on building — operators, controllers, automation, and platform services that other teams depend on. You will help onboard and mentor junior engineers through code review, design feedback, and pairing. Qualifications To be successful in this role you have: Experience leveraging or critically thinking about how to integrate AI into engineering work — whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built. 8+ years of software development experience with a Bachelor's degree; OR 5+ years with a Master's degree; OR 3+ years with a PhD; OR equivalent work experience. 5+ years of hands-on experience building, deploying and operating workloads on Kubernetes. Working experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, and IAM primitives. A track record of delivering complex features or services as a key contributor. Solid working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code. Strong programming skills in Go (or another systems language with a willingness to work primarily in Go). It Also Helps If You Have Experience building Kubernetes controllers or working with the operator pattern. Familiarity with container networking (CNI) or service mesh. Experience with workload identity, mTLS, or secrets management. Experience with observability — metrics, tracing, and dashboards. Experience with managed Kubernetes (EKS/AKS/GKE) and infrastructure-as-code tools such as Terraform. For positions in this location, we offer a base pay of $149,800 - $262,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

*Our Mission at Tactable* *What if you could build software that didn?t just scale, but transformed entire organizations?* At Tactable, this is what drives us. We?re building a world-class cloud, data, and API engineering firm with a mission to power the most influential tech of tomorrow, through expert-led delivery, strong partnerships, and a relentless focus on quality. We don?t just consult. We build. Founded by engineers who care deeply about people, process, and product, we go beyond just solving problems. We embed with clients, work across full project lifecycles, and operate at the speed of startups while upholding the rigor of enterprise-grade engineering. From financial institutions to emerging tech ventures, our work is behind some of the most mission-critical systems in production today, and we?re just getting started. With growing demand from top-tier clients and a strong runway for expansion, we?re building a team of curious, ambitious developers who want to build meaningful things with meaningful people. Take a look at to learn more about our work and what sets us apart. *The Role: Data Engineer (Cloud, Python)* This is a hands-on, hybrid role designed for data engineers who thrive at the intersection of infrastructure, pipelines, and product. As a *Data Engineer*, you?ll be part of a deeply technical team solving real-world data challenges for enterprise clients building robust, cloud-native data platforms, optimizing large-scale workflows, and delivering reliable data systems in production environments. You?ll have the opportunity to own architectural decisions, drive platform migrations, and mentor others across data and software engineering domains. Whether you're scaling a trading system or modernizing a legacy data warehouse, your work will be high-impact and highly visible. If you care about clean pipelines, scalable architecture, and building systems that power real users, you?ll thrive at Tactable. *What You?ll Do* *End-to-End Data Engineering* * Build scalable, reliable *ETL/ELT pipelines* using *Python*, and *SQL* * Design and maintain batch and near?real-time data workflows using Python-based frameworks * Integrate diverse data sources from *Azure Blob*, *ADLS*, and both relational and non-relational systems * Migrate legacy data architectures into modern, cloud-native environments * Optimize workloads for performance, cost, and fault tolerance * Ensure data quality, observability, and reliability across pipelines *Technical Leadership* * Own critical components of infrastructure across batch and streaming systems * Break down complex technical challenges into executable components * Mentor junior engineers through code reviews, architectural guidance, and technical pairing * Automate and standardize pipelines to reduce overhead and increase velocity * Contribute to internal tooling, documentation, and engineering best practices *Client & Project Exposure* * Work directly with client engineering teams in finance, trading, and enterprise tech * Rotate across domains and industries every 6?12 months, gaining broad exposure to systems and technologies * Tackle greenfield builds, system migrations, and enterprise-scale data transformations * Engage as a true partner, not a vendor, in shaping data product strategy *What You Bring* *Must-Have Experience* * Extensive experience in *data engineering or software engineering* roles * Strong programming skills in *Python* * Deep experience building and maintaining *production-grade data pipelines* * Strong *SQL* skills and experience working with both structured and unstructured data * Hands-on experience with *cloud infrastructure* (preferably Azure) * Experience with *CI/CD pipelines* and infrastructure-as-code practices * Familiarity with *data orchestration tools* (e.g., Airflow, dbt) * Experience working in *containerized environments* (Docker, Kubernetes) *Bonus Points For* * Experience working in finance, trading, or other regulated

Team Charter The Cloud Engineering team is dedicated to maintaining and evolving cloud infrastructure, CI/CD pipelines, Application Security, Change Management, and Backend application golden templates. We are the backbone of the technical organization, ensuring the foundation of our services is robust, secure, and efficient. About The Role We are looking for a Senior Cloud Engineer to join our Cloud Engineering team. This team is tasked with ensuring scalability, reliability, and security for all backend services and keeping the SDLC running smoothly for engineers across the company. As a senior member of the team, you will own meaningful pieces of our cloud platform end-to-end — from design through deployment and operation — while helping shape the standards, tooling, and golden templates that the rest of the engineering organization builds on. You will balance deep, hands-on technical ownership with mentoring teammates and influencing the technical direction of the systems that power a large-scale mobile marketplace. What We Love About This Role Scale & Impact: You will work on systems that drive the end-user experience and support every technical team across the organization, operating across a multi-account AWS and GCP footprint. Ownership: You will own critical infrastructure and platform capabilities end-to-end, making architectural decisions that affect reliability, security, and cost at scale. Force Multiplier: The templates, pipelines, and tooling you build raise the productivity and safety of every engineer at OfferUp. Emerging Technology: You will help bring new capabilities — including AI/ML developer tooling and infrastructure — into the hands of our engineers. Role In this role, you will design, build, and operate the cloud infrastructure, platform tooling, and CI/CD systems that underpin OfferUp's core applications. Day to day, that means you will: Build cloud infrastructure as code — design, implement, and maintain AWS and GCP infrastructure with Terraform, optimizing for reliability, security, and cost. Own our Kubernetes & GitOps platform — run and evolve EKS/GKE (cluster upgrades, Envoy/Gloo networking, Helm, ArgoCD delivery). Keep the SDLC fast and safe — build CI/CD pipelines and developer workflows (GitHub Actions, monorepo tooling, JFrog Artifactory), and maintain the backend "golden templates" and shared libraries the wider org builds on. Lead platform migrations end-to-end — plan, execute, and de-risk observability, data-store, Kubernetes, and multi-account migrations, including rollback strategy. Drive operational excellence & security — own observability in Datadog and on-call, remediate CVEs, manage secrets and access controls (Cloudflare/ZTNA, Okta, SSO, Workload Identity Federation), and optimize cloud cost. Multiply the team — enable AI/ML developer tooling (Amazon Bedrock, Claude, AI-assisted workflows), lead design and code reviews, set technical standards, mentor engineers, and partner with other teams. You'll Thrive In This Role If You Have Experience & Education: 5–8 years in cloud engineering, infrastructure, platform, DevOps, or SRE roles; Bachelor's in Computer Science or a related field, or equivalent practical experience. Cloud & Infrastructure as Code: Deep, hands-on AWS (ideally GCP) — EKS/GKE, Lambda, networking, IAM, S3, Kinesis, OpenSearch, Route53 — managed declaratively with Terraform at scale. Containers & Delivery: Solid experience with Kubernetes (EKS/GKE), Helm, GitOps (ArgoCD), and CI/CD pipelines (GitHub Actions or similar) in a monorepo or multi-service environment. Observability & Operations: Modern observability tooling (Datadog or similar) for metrics, logs, traces, and alerting; supporting production systems, on-call, and debugging complex distributed systems. Coding: Proficiency in at least one of Java, TypeScript, Python, or Go for automation, tooling, and platform development; comfort with scripting and SQL. Communication & Leadership: Able to communicate technical concepts to technical and non-technical audiences, lead through influence, and mentor other engineers. Helpful, But Not Required Experience with edge and zero-trust networking (Cloudflare, Envoy/Gloo). Experience operating data and streaming infrastructure (Kinesis, Flink, Redis/Valkey, Confluent/Kafka). Experience enabling AI/ML infrastructure or developer tooling (Amazon Bedrock, SageMaker, or LLM-based developer workflows). Experience with security and compliance practices, change management, and incident management at scale. Experience with GCP Workload Identity Federation and cross-cloud (AWS↔GCP) integrations. Compensation Range: $215,000 - $240,000 OfferUp offers a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. Individual salaries within our ranges are determined through a variety of factors, including but not limited to education, experience, knowledge, skills, and geography. All roles will receive equity in OfferUp as part of their compensation, the amount of equity varying depending on the individual's level and experience. Benefits (all US roles): In addition to our compensation package, this role is eligible to enroll in health insurance, healthcare savings and spending accounts, retirement savings benefits (401(k) plan with match), basic and voluntary life insurance, disability benefits, and paid time off for sick leave, family and/or medical leave, vacation, and 12 company holidays. In regard to vacation time, OfferUp has a flexible vacation policy, and, in general, full-time, exempt employees will be expected to take 3-5 weeks (15-30 days) of pre-planned vacation time per year. Vacation needs are flexible and will naturally vary from year to year based on individual circumstances and business needs. In regard to sick time, all full-time employees (exempt and non-exempt) will be granted 12 days (96 hours) of sick time per year (pro-rated if the start date is other than January 1). Your recruiter can share more details about specific benefits during the interview process. About OfferUp OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. One of the top local marketplace apps for local buyers and sellers in the U.S., OfferUp makes it easy for people to discover more of what they need—from great deals and secondhand goods to jobs, services, home rentals, and more—right in their own communities. Our trusted platform empowers millions to connect, thrive, and move life forward. Available on iOS and Android, OfferUp has consistently ranked among the top shopping apps. Founded in 2011 and based in Bellevue, WA, OfferUp serves local markets nationwide and was used by more than 1 in 6 adults in the U.S. in 2024. OfferUp is backed by leading investors, including Andreessen Horowitz, Warburg Pincus, GGV Capital, T. Rowe Price, and Coatue Management. https://about.offerup.com More About OfferUp At a Glance Top 10 Shopping app in the App Store and Google Play Store for three years 15%+ of adults in several major markets use OfferUp every month (LA, Miami, Phoenix, Seattle, Las Vegas, Riverside, Orlando) OfferUp works directly with nearly 2000 US law enforcement agencies to build trust in local communities OfferUp is unleashing the power of local, and we've built a dynamic team to do it. To learn more about working at OfferUp, check out https://about.offerup.com/people OfferUp provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, OfferUp complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training. OfferUp expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of OfferUp's employees to perform their job duties may result in discipline up to and including discharge.

The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it. Cloud Engineer(GCP) - Google Public Cloud Engineering The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it. Description Job Summary: This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of days on-site can increase based on business needs. As a Cloud Engineer , you will oversee the design, implementation, and management of our cloud infrastructure on the Google Cloud Platform. You will collaborate with cross-functional teams to assess requirements, develop cloud solutions, and ensure the security, scalability, and reliability of our cloud-based systems. The ideal candidate should have a strong background in GCP infrastructure architecture and a deep understanding of GCP Database solutions, Data architecture and data analytics solutions. You will participate in architecture reviews of GCP environments, bring engineering best practices, lead and implement changes, and inspire teams toward delivery excellence at Sysco. Duties And Responsibilities Lead the implementation of the Google Cloud Platform Data architecture while collaborating with cross-functional teams. Design, implement, and manage highly available and scalable cloud infrastructure on the Google Cloud Platform. Collaborate with stakeholders and application teams to understand business requirements, translate them into cloud architecture designs, and provide operational support to application teams. Develop and maintain cloud data migration strategies, including assessing existing systems, identifying gaps, and recommending remediation and infrastructure implementation plans. Ensure the security, availability, and performance of GCP resources through proper design and configuration. Implement and optimize cloud-based infrastructure solutions, such as virtual networks, private service access, storage, databases, compute resources, and identity and access management. Define and enforce cloud governance policies, including resource tagging, access controls, and cost management. Monitor, troubleshoot, and resolve issues related to GCP infrastructure, ensuring high availability and performance. Stay up to date with the latest trends and advancements in GCP and cloud computing technologies and provide recommendations for continuous improvement. Collaborate with cross-functional teams, including Data architects, developers, network administrators, security specialists, and cloud providers to ensure seamless integration of cloud solutions. Work with DevOps and IaC tools such as GitHub, Jenkins, Docker and Terraform. Ensure the security and compliance of all Sysco's infrastructure, data, applications, and configurations. Design / Develop Scripts for Automation where appropriate. Education Required Extensive knowledge of GCP infrastructure, services, and Database solutions, including GCP private/internal access technologies, Cloud Storage, GCP BigQuery, Cloud Spanner, Dataflow, Dataproc etc Should have a successful track record in architecting, designing, implementing, and managing systems and infrastructure in a cloud computing environment, including hybrid architectures. Bachelor's degree in Computer Science or appropriate related field is preferred. Equivalent work experience may be substituted for these education requirements. Education Preferred Bachelor's degree in Computer Science Experience Required 3 years of relevant experience in public cloud administration (Google Cloud Platform. ) Experience Preferred 5 years preferred Licenses/Certifications Required Microsoft Certified: Azure Solutions Architect Expert AWS Certified Solutions Architect - Professional Licenses/Certifications Preferred GCP Certified Cloud Engineer Microsoft Certified: Azure Administrator Associate GCP Cloud Architect VMware Certified Professional Skills And Abilities Working experience with native cloud technologies, 3rd party automation tools as such as Jenkins, Terraform, Chef, Cloud Custodian, and automation/scripting via CLI including Python, Bash and Powershell. Physical Demands Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of this job. Travel Requirements Travel is primarily limited to training and conferences. Work Environment Agile teams working in a Scrum framework.

Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page! Job details: Sr. Azure Platform Engineer (IaC) need for well-established California bank that has been in operation for over 100 years This Jobot Job is hosted by: Joseph Calabrese Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: A reputable and well-established California bank that has been in operation for over 100 years Why join us? Leverage the latest Network & Security technologies Strong benefits (M,D,V, and 401k) Profit sharing contribution - 10% Flexible work environment Extra paycheck at Christmas Job Details The Senior Azure Cloud & Platform Engineer leverages deep expertise in Azure cloud services, Infrastructure as Code (IaC), Kubernetes, identity and access management, cybersecurity, automation, CI/CD pipelines, observability, and platform reliability engineering. Working closely with Infrastructure, Network Engineering, Information Security, Application Development, Enterprise Architecture, Risk Management, and Audit teams, this position helps design and deliver secure, compliant, and reusable cloud solutions that support the Bank's business objectives. Required Knowledge Strong experience designing, implementing, and supporting production Microsoft Azure environments, including enterprise-scale Azure Landing Zones and cloud governance frameworks. Demonstrated hands-on expertise with Terraform and Infrastructure as Code (IaC) principles, including the development and maintenance of reusable modules and automated deployment patterns. Experience designing, deploying, and supporting containerized platforms utilizing Azure Kubernetes Service (AKS), Kubernetes, Docker, Azure Container Registry (ACR), and related container technologies. Strong knowledge of Microsoft Entra ID, Azure Role-Based Access Control (RBAC), Managed Identities, Privileged Identity Management (PIM), Azure Policy, Key Vault, and Microsoft Defender for Cloud. Experience implementing and supporting CI/CD pipelines using Azure DevOps, GitHub Actions, Git, or comparable source control and automation platforms. Experience configuring and supporting enterprise monitoring, logging, and observability solutions utilizing Azure Monitor, Log Analytics, Application Insights, dashboards, and alerting tools. Proficiency in automation and scripting using PowerShell, Azure CLI, Python, Bash, or similar technologies to support provisioning, configuration management, and operational efficiency. Working knowledge of Azure networking services, including Virtual Networks (VNets), Subnets, Network Security Groups (NSGs), DNS, Private Endpoints, Load Balancers, Routing, ExpressRoute, VPN connectivity, and hybrid cloud architectures. Strong understanding of cloud security principles and frameworks, including Zero Trust, identity and access management, encryption, secrets management, vulnerability management, compliance controls, high availability, business continuity, and disaster recovery. Experience supporting regulated environments with an understanding of governance, risk management, audit requirements, and security best practices. Education and Experience Minimum of 7 years of experience in infrastructure engineering, platform engineering, DevOps, systems engineering, cloud engineering, or related technology disciplines. Minimum of 4 years of significant hands-on experience with Microsoft Azure, including the design, implementation, automation, and support of enterprise cloud environments. Experience working within a regulated industry, preferably banking, financial services, healthcare, insurance, or other environments with stringent compliance and security requirements. Working knowledge of industry security and compliance frameworks, including NIST, CIS Controls, FFIEC, PCI DSS, SOC 2, SOX, or similar regulatory and governance standards. Experience planning and executing migrations of VMware, virtualized infrastructure, and traditional data center workloads to Microsoft Azure. Experience implementing and supporting Azure services such as Azure Backup, Azure Site Recovery, Microsoft Sentinel, Azure SQL, Azure Storage, Azure Networking, and other Azure Platform-as-a-Service (PaaS) offerings. Understanding of FinOps principles, cloud financial management, cost optimization strategies, budgeting, forecasting, and resource utilization best practices. Demonstrated ability to design, implement, and support universally available, secure, and scalable cloud platforms in enterprise environments. Experience collaborating with Infrastructure, Security, Application Development, Architecture, Risk Management, Compliance, and Audit teams in support of cloud initiatives and operational excellence. Preferred Certifications: Microsoft Certified: Azure Administrator Associate Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure DevOps Engineer Expert Microsoft Certified: Azure Security Engineer Associate Certified Kubernetes Administrator (CKA) Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. 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If Azure is a big part of your work and you enjoy finding better ways to run an environment, this role is worth a look. It's an opportunity to join a law firm investing heavily in cloud infrastructure, automation, security, and AI. The infrastructure team is growing fast, with room to take ownership of projects and help shape how the firm's cloud environment develops. The manager has spent more than 20 years in legal IT and worked at several top law firms. He described this as the best firm he's worked for as an IT professional. The IT team is treated with respect, and good budgets give them the resources to do their work well. The role covers Azure and hybrid infrastructure, with a focus on automation, identity management, and modernization. Projects include improving cloud standards, supporting upgrades and migrations, and building better monitoring so the team can spot and address issues earlier. You'll get to build and manage Azure infrastructure through infrastructure as code using Terraform and Bicep. You will also be using PowerShell and Microsoft Graph SDK to automate everyday tasks, improve monitoring with Azure Monitor and Log Analytics, and work across Entra ID, Intune, and Microsoft 365. Working alongside Endpoint Engineering and Security Engineering gives you a chance to broaden your experience and contribute to projects that connect infrastructure, identity, and security across the firm. You get to take ownership of projects, share your thinking, and work through technical decisions alongside other teams. The position offers competitive compensation and a hybrid schedule with work from home Mondays and Fridays.

The primary responsibility of this role is to ensure stability and reliability of operations in cloud by monitoring and automating the AWS infrastructure for the application. Cloud Engineer III will design and maintain AWS infrastructure, networking, security controls, API hosting environments, monitoring tools, scalability configurations, and production deployment support. Role and Responsibilities Experience with core AWS platform architecture including Organizations, Account Design, VPC, Subnet, segmentation strategies Experience monitoring operations and security of EC2, container, and AWS services Familiarity with executing Stacks, CloudFormation, Terraform scripts Familiarity with network connectivity including AWS Direct Connect and AWS Site‑to‑Site VPNs Familiarity with encryption using AWS KMS Familiarity with logging using CloudWatch and CloudTrail Ability to execute implementation plans in AWS for initiatives ranging from load‑balanced EC2 scaling groups to Lambda functions Ability to manage AWS resources and native cloud services Maintain continuity of operations with 100% uptime Experience working within a Continuous Integration environment using Docker and Kubernetes Experience with Git, GitHub, Bitbucket versioning systems Ability to monitor and manage system resources and application performance Experience with monitoring tools such as DataDog, Kibana, Elasticsearch Experience with build tools such as Maven, Gradle, ANT, Grunt Expertise in Amazon S3 for object storage, lifecycle management, versioning, replication, and data security Experience with AWS Fargate for containerized application deployment and management Experience designing and implementing CI/CD pipelines using AWS CodePipeline, GitHub Actions, or Jenkins Experience with RDS, PostgreSQL, and other AWS data services Strong scripting skills in Python, Bash, or PowerShell Experience working on Agile projects Experience working in large projects interacting with multiple teams Required Experience 7+ years of Application Development, Maintenance, or Application Administration 3–5 years of experience maintaining AWS infrastructure 5+ years of experience with DevOps tools 5+ years of experience supporting applications on AWS Clear written and verbal communication skills Self‑directed and self‑motivated with ability to take charge or support as needed Must be able to obtain and maintain a Public Trust clearance. Must have lived in the United States 3 out of the past 5 years. Preferred Experience CMS healthcare experience Experience with large‑scale cloud operations and cross‑team collaboration Education & Certification Bachelor's degree in a technical field AWS certifications