Senior Data Engineer

Salary: $150k-$170k + bonus

Location: Chicago, IL

Hybrid: 3 days on-site, 2 days remote

*We are unable to provide sponsorship for this role*

Qualifications

• Bachelor's degree
• 8+ years of experience in ETL, ELT and data engineering
• 3+ years of experience on Azure data platforms
• 8+ years of end-to-end implementation experience of deploying enterprise data warehouse, data mart and data lake solutions.
• 5+ years of Implementation and maintenance experience with Talend DI, DQ capabilities
• 3+ years of working experience with Azure data solutions including but not limited to ADLS, Data Bricks, ADF, Synapse etc.
• Azure ADLS/Databricks administration experience

Pluses

• Data architecture, Data Modeling, and Data Visualization
• Relevant certifications

Responsibilities

• Accountable for the technical leadership regarding the data integration solutions and delivery. Ensuring a sound and best in class design, with enterprise implementation, deployment and operational meets the technical quality standards.
• Responsible for planning and coordinating in carving out the needed dev/test environments, as well as defining and managing code branching/config strategies supporting concurrent releases.
• Works with Data and Enterprise architecture team to define the data integration design/coding/deployment/operational standards and technology stack.
• Responsible for data operations, in terms of scheduling, successful execution, and reconciliation of the data pipes in production
• Works collaboratively with other dev teams to guide and review their deliverables against the set standards.
• Works collaboratively with Data Analytics, applications, DBA, and cloud operations teams to ensure end to end integrity and usage of data assets.