Dice is the leading career destination for tech experts at every stage of their careers. Our client, NimbusAITech LLC, is seeking the following. Apply via Dice today! 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.