1 month ago
Base Salary
$99k - $141k/yr
Responsibilities
- Design, develop, and maintain data pipelines using Apache Airflow DAGs.
- Build and optimize ETL/ELT workflows using Databricks, PySpark, and Spark.
- Develop and manage data warehousing solutions in Snowflake and SQL.
- Lead technical design, code reviews, performance tuning, and production support.
- Collaborate with cross-functional teams to deliver reliable, high-quality data solutions.
- Mentor team members and drive engineering best practices.
Requirements
- 10–12+ years of data engineering experience.
- Experience in a production support environment with rotational shift work.
- Experience with Git and CI/CD practices.
Benefits
- Paid time off, including 12–25 vacation days depending on employee grade, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs and other benefits subject to local policy and eligibility.
- Regular, full-time employees receive a comprehensive, non-negotiable benefits package.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.