ThoughtStorm

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown," offering a pay rate of "unknown" and located in a "remote" setting. Requires 5+ years in SAS, 4+ years in Python, and experience in financial data environments.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Automated Testing #Migration #SAS #Python #Cloud #Scala #Data Engineering #AWS (Amazon Web Services) #GitHub #Data Pipeline #Snowflake #Data Warehouse #SQL (Structured Query Language) #Data Integrity #Version Control #Programming #Data Governance
Role description
Our client is seeking a Senior Data Engineer to lead the migration of complex SAS codebases to Python as part of a large-scale data modernization initiative. This hands-on role focuses on converting legacy logic into scalable, high-performance Python solutions within a financial data environment. The ideal candidate brings deep SAS and Python expertise, strong data engineering fundamentals, and experience modernizing enterprise data pipelines. Responsibilities & Qualifications • Analyze, document, and migrate complex SAS scripts into Python • Design and implement efficient, maintainable Python solutions • Leverage GitHub and AI-assisted tools to accelerate and standardize code conversion • Collaborate with business and technology teams to validate requirements and outputs • Develop automated testing strategies to ensure accuracy and data integrity • Support and enhance ETL pipelines and data warehouse environments • Document migration approaches, standards, and processes Requirements • 5+ years of hands-on SAS programming experience • 4+ years of professional Python development experience • Proven experience migrating or rewriting SAS code into Python • Strong SQL and data engineering experience; Snowflake, DB2, or similar platforms preferred • Experience with ETL processes, data governance, and large-scale data environments • Familiarity with GitHub and version control best practices • Mortgage or financial services experience preferred • AWS cloud experience is a plus • Strong analytical, communication, and problem-solving skills