Data Engineer (contract)

Capgemini; Houston (TX); On-site; USD 54,139 - 84,584; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

A leading IT consulting firm is seeking a Data Engineer to design and implement data pipelines using AWS services. Candidates should have a minimum of 6 years of industry experience and hands-on expertise in Python and SQL. The position offers a pay range of $39.30 to $61.40 per hour, along with benefits including medical, dental, and vision. This contract role is aimed at mid-senior level professionals, emphasizing collaboration with data scientists and business stakeholders, ensuring data solutions align with business goals.

Qualifications

• 2+ years of hands-on experience with Python and SQL required.
• Minimum of 6 years of overall experience in the industry.

Responsibilities

• Design, develop, and implement data pipelines using AWS services.
• Build and maintain robust ETL processes for data efficiency.
• Design and manage data warehousing solutions on AWS.
• Collaborate with data scientists and stakeholders to deliver solutions.

Skills

Python

SQL

AWS Glue

AWS Lambda

AWS S3

AWS Kinesis

Snowflake

Data Warehousing

ETL Processes

Job description

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.