Data Engineer (contract)

Data Engineer (contract) – Capgemini Responsibilities Design, develop, and implement data pipelines using AWS services such as AWS Glue, Lambda, S3, Kinesis, and Snowflake to process large-scale data. Build and maintain robust ETL processes for efficient extraction, transformation, and loading, ensuring data quality and integrity across systems. Design and manage data warehousing solutions on AWS, particularly with Redshift, for optimized storage, querying, and analysis of structured and semi-structured data. Implement and manage scalable data lake solutions using AWS S3, Glue, and related services to support structured, unstructured, and streaming data. Collaborate closely with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions aligned with business goals. Create and maintain documentation for data infrastructure, pipelines, and ETL processes to support knowledge sharing and compliance. Required hands‑on experience with Python and SQL (2+ years). 6+ years of experience in the industry. Compensation & Benefits Pay range: $39.30/hour - $61.40/hour. Benefits include medical, dental, vision, and retirement. Applications are accepted on an ongoing basis. EEO Statement We are an equal‑opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Seniority Level Mid‑Senior level Employment Type Contract Job Function Information Technology Industries IT Services and IT Consulting Additional Notes Referrals increase your chances of being interviewed at Capgemini by 2x. Sign in to set job alerts for “Data Engineer” roles. #J-18808-Ljbffr Capgemini