data engineer
Description
Job Description Senior Data Engineer ? Talend Job ID: GOAPRDJP00001030 Client: Government of Alberta Project: Data Management Platform Integration Services Location: Edmonton, Alberta Work Arrangement: Primarily Remote ? Must be available for occasional onsite meetings in Edmonton Contract: 841 hours, with potential extension of up to 6 months Hours: 36.25 hours/week Rate: Up to $90 CAD/hour Positions: 1 Deadline: September 29, 2026 Job Summary The Government of Alberta is seeking a Senior Data Engineer ? Talend to support its Data Management Platform Integration Services initiative. The successful candidate will be responsible for designing, developing, deploying, monitoring, troubleshooting, and enhancing enterprise data integration solutions using Talend . The role requires strong hands-on experience with Talend Studio, Talend Management Console/Administration Center, Talend Remote Engines, ETL/ELT development, SQL Server, APIs, production support, and enterprise SDLC processes. The resource will work closely with data engineers, solution architects, application teams, infrastructure teams, business stakeholders, and vendors to deliver secure, scalable, reliable, and maintainable data integration solutions. Key Responsibilities Design, develop, test, and deploy Talend integration jobs, services, APIs, and reusable components . Develop ETL/ELT solutions for integrating data across databases, files, APIs, cloud platforms, and enterprise applications. Translate business and data requirements into technical designs, data mappings, transformation logic, and reconciliation processes. Build scalable batch and near-real-time data integration solutions. Develop reusable, parameterized, and environment-aware Talend integrations. Administer and support Talend Management Console (TMC) / Talend Administration Center (TAC) . Deploy, schedule, orchestrate, monitor, and troubleshoot Talend jobs and services. Install, configure, maintain, and troubleshoot Talend Remote Engines, Job Servers, and runtime environments . Monitor integration jobs, platform health, execution status, throughput, failures, and performance. Investigate and resolve production incidents, integration failures, data-load issues, and performance problems. Perform root-cause analysis and implement corrective and preventive actions. Implement logging, monitoring, alerting, and automated recovery processes. Support production releases, upgrades, patching, configuration changes, and environment maintenance. Participate in solution design, technical estimation, release planning, testing, and deployment activities. Work within established SDLC, source control, code review, CI/CD, testing, release management, and change management processes. Collaborate with infrastructure teams, vendors, business stakeholders, and application teams to resolve integration and platform issues. Use AI and automation tools to improve data engineering workflows, code development, testing, monitoring, documentation, and productivity. Perform other related duties as required. Requirements Mandatory Qualifications Post-secondary degree, diploma, or certificate in