Sr Data Engineer

MARS Solutions Group; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading financial services firm is seeking a Senior Cloud Data Engineer to design and support cloud native ETL pipelines. This remote role focuses on leveraging AWS services such as Lambda and S3 while enhancing data ingestion workflows using Python. Candidates must be based in the U.S. and available for Central Time Zone hours. This contract position offers an opportunity to work on modern, scalable data solutions within a Fortune 500 company.

Qualifications

• Strong hands-on experience with AWS services, especially Lambda and S3.
• Advanced skills in Python for data processing and transformation.
• Proven ability to design and implement ETL pipelines in the cloud.

Responsibilities

• Design and support cloud native ETL pipelines leveraging AWS services.
• Develop data ingestion and transformation workflows using AWS Lambda and S3.
• Troubleshoot and resolve data pipeline issues.

Skills

AWS Lambda

AWS S3

Python

Job description

Location

100% Remote (U.S. based candidates working Central Time Zone hours)

Engagement

Long-Term Contract

Client

Fortune 500 Financial Services Organization

About the Opportunity

Our client, a Fortune 500 financial services leader, is looking to bring on an experienced Senior Cloud Data Engineer to support a large-scale cloud and ETL modernization effort. This team is in the midst of a cloud journey and is focused on building modern, scalable, cloud native data solutions.

Key Responsibilities

• Design, build, and support cloud native ETL pipelines leveraging AWS services.
• Develop and enhance data ingestion and transformation workflows using AWS Lambda, S3, and Python.
• Collaborate using Git to manage code, versioning, and deployments across the team.
• Partner closely with data architects, analysts, and stakeholders to ensure data accuracy, performance, and reliability.
• Continuously improve data pipelines for scalability, efficiency, and maintainability in a cloud environment.
• Identify, troubleshoot, and resolve data pipeline issues to keep data flowing smoothly.

Required Skills and Experience

Core Technical Skills

• Strong hands‑on experience with AWS, specifically Lambda and S3.
• Advanced Python skills for data processing and transformation.
• Proven background in designing and implementing ETL pipelines in the cloud.

Additional Requirements

• Must be based in the United States.
• Ability to work Central Time Zone business hours.

Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology

Industries

Business Consulting and Services