Data Engineering Lead

Capgemini • Dallas, TX

3d • $98,890 - $140,720

About The Position

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

• 10-12+ years of Data Engineering experience
• Experience in production Support environment with rotational shift
• Experience with Agile methodologies, Git, and CI/CD practices

Responsibilities

• Design, develop, and maintain data pipelines using Apache Airflow DAGs.
• Build and optimize ETL/ELT workflows using Databricks (PySpark/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 and high-quality data solutions.
• Mentor team members and drive engineering best practices.

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