Lead Data Engineer
Job Description
Advance your data engineering career with Capgemini in Hartford, CT (hybrid), working 3 days per week in the office. This Lead Data Engineer role supports teams delivering reliable data platforms through pipeline development, performance optimization, and production-grade data practices. The estimated salary range is USD 125,000 to 136,000 per year.
What you’ll do
- Build data pipelines to support dependable data flow across systems.
- Optimize SQL for efficient querying and improved performance.
- Model data to structure information for downstream analytics and applications.
- Manage NoSQL stores as part of the data platform architecture.
- Implement quality checks to help maintain data accuracy and consistency.
- Perform performance tuning across data workflows and databases.
- Own metadata management to improve discoverability and governance of data assets.
- Provide production support to resolve issues and keep pipelines running.
What you’ll bring
- Data Engineering
- Database Engineering
- Stakeholder Management
- Agile/SAFe
- Documentation
- Delivery Excellence
Benefits and support
- Paid time off based on employee grade, including vacation (12 to 25 days), company paid holidays, personal days, and sick leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (for example, 401(k) in the U.S. or RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
Preferred certifications
- SnowPro
- Databricks
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