Data Engineer - Azure, Databricks

Capgemini • Chicago, IL

3d • $112,763 - $148,000 • Hybrid

About The Position

Capgemini is looking to hire a senior Azure Databricks Data Engineer with Martech experience in Cinncinnati Ohio. Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

• 6-7 years of experience in data engineering with strong expertise in Azure Data Factory/Synapse, ADLS Gen2, Azure SQL, Key Vault, and Databricks (Spark, Delta Lake, Unity Catalog).
• Hands-on proficiency in PySpark and SQL, with strong debugging skills for production data pipelines.
• Martech experience
• Good understanding of ITIL processes including Incident, Problem, and Change Management.
• Experience with Azure Monitor, Log Analytics, and CI/CD platforms (Azure DevOps/Git).
• Strong analytical, communication, and documentation skills; ability to work in on-call or high-severity incident environments.

Responsibilities

• Provide L1.5, L2, and L3 production support for Azure and Databricks-based data pipelines and applications.
• Troubleshoot failures related to ingestion, transformations, scheduling, performance, and schema drift.
• Conduct root-cause analysis, implement permanent fixes, and maintain runbooks, SOPs, and knowledge articles.
• Monitor system health, SLAs, job performance, and platform costs using Azure and Databricks observability tools.
• Optimize Spark/Databricks workloads including cluster tuning, Delta Lake optimization, and job performance enhancements.
• Execute controlled production changes and participate in incident, problem, and change management processes.
• Collaborate with engineering, operations, and business teams to implement automation and drive platform reliability.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed