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Company Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks , reflecting our dedication to their success. We invest deeply in our educ…

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As an AI and Data Science Engineer II on the team, you will be responsible for: Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability Develops and maintains AI-enabled capabilities embedded within the AIE platform and software delivery lifecycle A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. Qualifications Required: Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field 3+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred: Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field 2+ years of experience deploying machine learning models into production environments 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions 1+ years of experience in Salesforce Agentforce 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 110,700 to $218,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. ai&e fy27 profile

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As an AI and Data Science Engineer II on the team, you will be responsible for: Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability Develops and maintains AI-enabled capabilities embedded within the AIE platform and software delivery lifecycle A successful candidate would possess these skills: Ability to work independently and collaborate as part of a team Effective written and verbal communication skills Meticulous attention to detail and quality of work product Ability to build and sustain professional relationships Ability to lead projects or workstreams Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment Strong interpersonal skills and professional demeanor Ability to meet deadlines Ability to provide clear guidance to others The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. Qualifications Required: Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field 3+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred: Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field 2+ years of experience deploying machine learning models into production environments 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions 1+ years of experience in Salesforce Agentforce 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 110,700 to $218,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. ai&e fy27 profile

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. We are looking for a Senior Machine Learning Engineer to join our Confluence Cloud AI team. The Confluence Cloud AI team builds and deploys machine-learning solutions that drive revenue generation, expand our active user base, and provide sophisticated forecasting for company top-line metrics. We work across the complete end-to-end machine-learning development lifecycle, from problem definition and experimentation through production deployment and ongoing improvement. This is a unique opportunity to work in a highly collaborative environment, apply advanced machine-learning techniques, particularly forecasting models, and solve challenging, high-impact problems. You'll collaborate with stakeholders across Growth, GTM, Product, Finance, and Sales while working alongside experienced ML engineers and full-stack engineers. Working at Atlassian Atlassians have flexibility in where they work, whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, as part of being a distributed-first company. Responsibilities Drive the development and implementation of advanced machine-learning algorithms for business-critical applications. Build scalable, reliable, and highly performant forecasting algorithms, including deep-learning-based models, to forecast company top-line metrics at a granular level. Lead the end-to-end machine-learning development lifecycle, including problem definition, data preparation, modeling, experimentation, evaluation, deployment, and iteration. Design system and model architectures that support production-quality machine-learning solutions. Develop rigorous model-evaluation approaches and use data-driven insights to improve model quality and business impact. Collaborate with business, engineering, analytics, Growth, GTM, Product, Finance, and Sales teams to translate complex problems into practical solutions. Build and improve machine-learning infrastructure and modeling applications that can scale with the needs of the business. Explain machine-learning concepts and recommendations clearly to both technical and non-technical audiences. Provide technical guidance and mentorship to junior ML engineers. Balance high-quality output with business practicality, rapid iteration, and measurable customer and business outcomes. Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. This role may also be eligible for benefits, bonuses, commissions, and equity. Pay Ranges Role In The United States , we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A : $206,100 - $269,075 Zone B : $185,490 - $242,168 Zone C : $171,063 - $223,332 Qualifications Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. We are looking for a Senior Machine Learning Engineer to join our Confluence Cloud AI team. The Confluence Cloud AI team builds and deploys machine-learning solutions that drive revenue generation, expand our active user base, and provide sophisticated forecasting for company top-line metrics. We work across the complete end-to-end machine-learning development lifecycle, from problem definition and experimentation through production deployment and ongoing improvement. This is a unique opportunity to work in a highly collaborative environment, apply advanced machine-learning techniques, particularly forecasting models, and solve challenging, high-impact problems. You'll collaborate with stakeholders across Growth, GTM, Product, Finance, and Sales while working alongside experienced ML engineers and full-stack engineers. Working at Atlassian Atlassians have flexibility in where they work, whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, as part of being a distributed-first company. Responsibilities Drive the development and implementation of advanced machine-learning algorithms for business-critical applications. Build scalable, reliable, and highly performant forecasting algorithms, including deep-learning-based models, to forecast company top-line metrics at a granular level. Lead the end-to-end machine-learning development lifecycle, including problem definition, data preparation, modeling, experimentation, evaluation, deployment, and iteration. Design system and model architectures that support production-quality machine-learning solutions. Develop rigorous model-evaluation approaches and use data-driven insights to improve model quality and business impact. Collaborate with business, engineering, analytics, Growth, GTM, Product, Finance, and Sales teams to translate complex problems into practical solutions. Build and improve machine-learning infrastructure and modeling applications that can scale with the needs of the business. Explain machine-learning concepts and recommendations clearly to both technical and non-technical audiences. Provide technical guidance and mentorship to junior ML engineers. Balance high-quality output with business practicality, rapid iteration, and measurable customer and business outcomes. Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. This role may also be eligible for benefits, bonuses, commissions, and equity. Pay Ranges Role In The United States , we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A : $206,100 - $269,075 Zone B : $185,490 - $242,168 Zone C : $171,063 - $223,332 Qualifications Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

The P&C Insurance Industry Data Analytics Engineer at Mutual of Enumclaw will bridge the gap between raw data and business insights by designing, building, and governing analytics-ready data assets across the P&C (Property & Casualty) insurance value chain - Underwriting, Actuarial, Claims, Product, Distribution, and Finance - and all lines of business (Personal, Commercial, and Farm.) This role translates insurance business logic into governed, scalable data models, partnering with stakeholders to deliver trusted reporting and analytics solutions and plays a key role in advancing our Snowflake-based medallion architecture and enabling data-driven decision-making across the company. Location: Preference will be given to those residing in WA, OR, ID, MT, WY, AZ, or UT. (Candidates must be able to work during our core Pacific Time Zone business hours.) Responsibilities: Business Partnership & Delivery Partner with business stakeholders to define KPIs, reporting requirements, and scalable analytics solutions that support strategic and operational decision-making Design and maintain dashboards, reports, and visualizations in Sigma, Power BI, or similar BI platforms to deliver trusted business insights Data Modeling & Engineering Design and maintain scalable data models, pipelines, and semantic layers within a modern Snowflake/dbt architecture to support self-service analytics Integrate data from internal and external sources (e.g., policy systems, Salesforce, HubSpot) Data Governance & Quality Define and enforce data governance standards, including data definitions, access controls, and metadata management Validate and test data outputs to ensure accuracy and reliability Monitor data performance and continuously improve data products based on user feedback Agile Delivery & Support Collaborate with Product Owners and Agile teams to deliver high-quality data products Provide production support and troubleshoot data/reporting issues as needed Required Skills and Abilities: P&C (Property & Casualty) insurance experience required, including familiarity with Underwriting, Claims, and Insurance reporting metrics Strong experience building dashboards and reports in Sigma, Power BI, or similar BI platforms Strong experience with cloud data warehouses (Snowflake preferred) and transformation tools such as dbt Solid understanding of dimensional modeling, ELT processes, and modern data architectures (e.g., medallion/Lakehouse) Knowledge of data integration methods including APIs and semi-structured data Strong communication skills with the ability to translate technical concepts for business audiences Experience working in Agile environments Proficiency in SQL Education and Experience: Bachelor's degree in data science, computer science, statistics, or a related field (or equivalent experience) 5+ years of experience in data analytics, data engineering, or related roles within the insurance industry Experience working with data systems, pipelines, and reporting solutions Hiring Range: $140,891 - $157,545 * Salary Range: $140,891 - $171,631 * The Hiring Range represents Mutual of Enumclaw's current hiring pay scale for this role. Mutual of Enumclaw reserves the right to modify or update this range any time. Exact compensation may vary based on skills and experience. Compensation is only one part of our entire total rewards package. To see some of the benefits and perks we offer, please click here . Physical Requirements: Prolonged periods of sitting at a desk and working on a computer, including video conferencing.

At Zelis, we Get Stuff Done. So, let's get to it! A Little About Us Zelis is modernizing the healthcare financial experience across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients. At Zelis, AI is woven into the fabric of how we work. Every associate is expected - and empowered - to partner with AI to challenge the status quo, accelerate innovation, and amplify their impact. This is a place for builders with a growth mindset who act with agility, embrace change, and use modern technology to shape smarter solutions, exceptional experiences, and the future of our industry for our clients, customers, and our culture. A Little About You You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you've learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are. Position Overview The Analyst II, Data Analysis will be responsible for analyzing complex data sets to derive actionable insights and support data-driven decision-making across the organization. This role requires a skilled data analyst with strong analytical abilities, a deep understanding of statistical methods, and the ability to collaborate effectively with cross-functional teams. The ideal candidate will have experience in data analysis, excellent problem-solving skills, and a passion for leveraging data to drive business outcomes. What You'll Do Analyze large and complex data sets to identify trends, patterns, and insights. Develop and implement statistical models and algorithms to solve business problems. Validate and refine models to ensure accuracy and reliability. Create clear and compelling data visualizations to communicate findings to stakeholders. Prepare and present regular reports on data analysis outcomes to senior leadership. Develop dashboards and other tools to enable self-service data access for business users. Collect, clean, and preprocess data from various sources to ensure data quality and consistency. Collaborate with data engineers and IT teams to design and implement data pipelines and workflows. Ensure data is properly stored, organized, and accessible for analysis. Work closely with business stakeholders to understand their data needs and provide actionable insights. Collaborate with cross-functional teams, including marketing, product, and finance, to support data-driven decision-making. Provide training and support to team members on data analysis and visualization best practices. Stay informed about industry trends, emerging technologies, and best practices in data analysis. Identify opportunities for process improvements and implement innovative solutions. Attends company training and regional training in area of expertise. Presents own work to members of department. What You'll Bring To Zelis Typically has Bach. +2-3 yrs; Masters +0 yrs Requires proficiency using AI tools skillfully with an understanding of how to develop/create intelligent prompts and/or agents. Fluency with data analysis tools (e.g., SQL, Python, R, Excel). Proficiency with data visualization tools (e.g., Tableau, Power BI) is a plus. Healthcare claims editing experience a plus. Understanding of statistics and data modeling preferred. Strong communication, analytical and problem-solving skills. Excellent attention to detail and accuracy. Experience presenting findings to senior leadership team Experience with big data technologies (e.g., Hadoop, Spark) is a plus. Knowledge of machine learning techniques and algorithms. Certification in data analysis or related fields. Please note at this time we are unable to proceed with candidates who require visa sponsorship now or in the future. Location and Workplace Flexibility Zelis is headquartered in the U.S., with multiple locations across the country and in Hyderabad, India. Check out our locations to learn more about our offices. All employee work locations are based on the needs of the position and are determined by the Leadership team. In-office work and activities vary based on work and team objectives in accordance with Company policies. While location expectations vary by role, candidates within approximately 50 miles of a U.S. office are generally preferred to support collaboration when needed. Our hybrid approach is flexible, and in-office presence is guided by team and business needs rather than a fixed weekly schedule. Base Salary Range $71,000.00 - $90,250.00 At Zelis we are committed to providing fair and equitable compensation packages. The base salary range allows us to make an offer that considers multiple individualized factors, including experience, education, qualifications, as well as job-related and industry-related knowledge and skills, etc. Base pay is just one part of our Total Rewards package, which may also include discretionary bonus plans, commissions, or other incentives depending on the role. Zelis' full-time associates are eligible for a highly competitive benefits package as well, which demonstrates our commitment to our employees' health, well-being, and financial protection. The US-based benefits include a 401k plan with employer match, flexible paid time off, holidays, parental leaves, life and disability insurance, and health benefits including medical, dental, vision, and prescription drug coverage. Equal Employment Opportunity Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We welcome applicants from all backgrounds and encourage you to apply even if you don't meet 100% of the qualifications for the role. We believe in the value of diverse perspectives and experiences and are committed to building an inclusive workplace for all. Accessibility Support We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email TalentAcquisition@zelis.com. Disclaimer The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities, duties, and skills from time to time.

Brief Description About the Role: The Junior Data Analyst will join the Data & Analytics team and support stakeholders across Operations, Sales, Finance, Purchasing, Business Development, and Engineering. The role centers on turning data into clear, reliable answers. That means working with business teams to understand their questions, analyzing data from across the company, keeping reporting accurate, and communicating findings in a way that supports decision-making. The role offers high visibility into company-wide processes. It's highly collaborative and suits someone who is curious, detail-oriented, and comfortable taking ownership of their work. This is an entry-level role for recent graduates or candidates with up to one year of experience. What You Will Do Write SQL queries against SQL Server to answer business questions and generate insights for Operations, Finance, Sales, and Business Development. Use Python to clean, analyze, and automate work with data. Handle ad hoc analysis requests from start to finish: clarify the question, pull and analyze the data, and present a clear answer. Validate data accuracy across reports and source systems, investigating and resolving discrepancies. Use AI coding assistants and help build AI agents that automate recurring analysis and reporting. Organize and reconcile data in Excel, mapping and merging data from multiple sources. Support finance-related analysis such as inventory, cost, and margin reporting. Monitor Power BI dashboards for data accuracy and refresh issues, escalating to the BI development team as needed. Identify trends, anomalies, and opportunities within datasets and flag them proactively. Prepare data and visuals for internal and external-facing decks and reports. Document data definitions, query logic, and recurring processes. Manage and prioritize requests from multiple teams. Requirements We are Seeking People Who: Have a bachelor's degree in Economics, Statistics, Data Science, Information Systems, or a related computational or quantitative field. Have up to one year of professional experience. Recent graduates are welcome. Have hands-on experience from a data-related internship or personal projects, with work they can share, such as a GitHub repository or portfolio. Are knowledgeable in SQL and can write queries, including joins and aggregations, to answer business questions. Can write Python code for data analysis, using libraries such as pandas. Understand at least one BI tool, such as Power BI or Tableau. Are proficient in Excel. Have a strong analytical and problem-solving mindset. Have excellent written and verbal communication skills. Are eager to learn new tools and technologies in a fast-paced environment. Have high attention to detail and are comfortable working with large datasets. Have exposure to Microsoft Fabric through coursework or personal projects, which is a plus. Understand data flows and architecture, which is a plus. Have completed coursework in data analysis, statistics, or business intelligence, which is a plus. Have an interest in the wireless, electronics, distribution, or supply chain industry, which is a plus. What's In It For You Salary Range: $65,000 to $75,000 per year Competitive salary and performance-based incentives. Opportunities for professional growth and development. A supportive and collaborative work environment. Comprehensive benefits package. A supportive, diverse and global team with a growth mindset. A scaling company with great industry professionals. Amazing opportunities to get involved with exciting projects at significant scale with some of the leading global companies. Work Location / Type: This role is on-site, and the candidate needs to be within commuting distance of Florham Park, NJ. Hours: 9:00 AM to 6:00 PM Eastern Time. We are an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, national origin, disability, or protected veteran status. Summary About PCS Wireless: Founded in 2001, by two visionary traders, PCS Wireless, affectionately known as "PCS", is not your average mobile distributor. Led by fearless entrepreneurs, PCS has completely transformed the landscape of the device resell market, both from a business and a consumer perspective. Today, PCS is a recognized global leader, powering the secondary market. At PCS, we buy and sell mobile devices and products worldwide through partners and programs by breathing new life into old devices effectively extending the device lifecycle up to 5X and beyond. We collaborate with industry giants in consumer electronic manufacturing, wholesalers, big box retailers and small businesses alike, catering to a diverse clientele of more than 1,500 clients. Our operations span major markets worldwide with offices and warehouses in the Americas, APAC, UK & EMEA. Our go-getting spirit valuing flexibility, a "me for we approach" and curiosity, continues to be the foundation of our success. We are looking for doers and thinkers who get things done and have fun while doing it!

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!