Build modern data platforms that turn complex information into clear business value.
The Role We’re looking for a Senior Data Engineer to design, build, and optimize scalable data solutions that support critical business and client outcomes. In this role, you’ll use your advanced SQL and Python expertise to develop robust ETL pipelines, support cloud data migration initiatives, and help shape reliable, high-performing data environments.
What You’ll Do
Design, build, and maintain scalable ETL pipelines for structured and unstructured data
Develop efficient, reliable data solutions using advanced SQL and Python
Support cloud data migration projects, including data mapping, transformation, validation, and optimization
Partner with cross-functional teams to improve data quality, accessibility, and platform performance
Contribute to best practices in data engineering, documentation, testing, and deployment
What We’re Looking For
Proven experience as a Data Engineer delivering production-grade data solutions
Advanced SQL and Python skills, with the ability to work across complex data sets and workflows
Hands-on experience building and maintaining ETL processes in enterprise environments
Experience supporting cloud-based data platforms and migration initiatives
Strong collaboration and communication skills, with a thoughtful and structured approach to problem-solving
Bonus Points For
Experience with modern cloud platforms such as AWS, Azure, or GCP
Familiarity with data warehousing, orchestration, and pipeline automation tools
Experience working in consulting, financial services, or other regulated environments
Exposure to data governance, data quality, or metadata management practices
Experience mentoring teammates or contributing to engineering standards
Information
Locations Freddie MacPosition Open to Anywhere in the US, but will work on-siteIndustry FinancialStatus OpenJob Age 3 Day'sCreated Date 03/12/2026No.of Positions 1Duration 12Zip Code
