Senior Data Engineer

Position Title: Big Data/Machine Learning Engineer Sr (Data Engineer)
Location: Richmond, VA or New York, NYC (Hybrid 3 days onsite/week; No Relocation)
Contract W2

Position Overview

We are seeking an experienced Big Data/Machine Learning Engineer to join our high-impact team supporting commercial data ecosystems. This contract role is pivotal in the migration and operational support for a General Ledger/ERP system replacement (PeopleSoft to Workday), ensuring excellent data pipeline reliability and standardized data product delivery.

Key Responsibilities

• Develop, test, and deploy data products while ensuring high data quality and performance.
• Maintain and support critical data pipelines and commercial data refinery operations.
• Provide SME-level support for ERP migration projects, particularly supporting PeopleSoft-to-Workday transitions.
• Participate in company-wide data refinement and metrics standardization initiatives.
• Handle light application support for internal data management tools and monitor vulnerability management (e.g., TREX).
• Engage in enterprise tech backlog (ETB) processes as needed.
• Manage routine Run the Engine /business-as-usual (BAU) operational support troubleshoot, resolve, and proactively prevent pipeline or data service issues to allow associates to focus on strategic initiatives.

Must-Have Skills

• Strong experience building data products, with proficiency in Python, SQL, Spark, and AWS
• Experience in unit testing and building reliable, maintainable code
• Familiarity with ERP systems, specifically PeopleSoft and Workday, and insight into financial management and ledger operations
• Demonstrated experience in supporting major ERP or financial system migrations

Preferred Qualifications

• Experience with vulnerability management (TREX) and enterprise tech backlog/ETB processes
• Background in supporting application and ETL tools for internal data management
• Ability to work proactively on routine operations in a complex commercial data environment
• Excellent stakeholder communication and documentation skills

Additional Information

• The candidate must reside in Richmond, VA or New York, NYC area and work on a hybrid model (3 days onsite weekly). No relocation.
• Only candidates able to work on your company s W2 will be considered.
• This is a highly collaborative, visible role ideally suited for proactive, hands-on engineers with a focus on data reliability, financial system expertise, and operational excellence.