> Markdown version of [/jobs/ext/4197937-data-management-big-data-machine-learning-engineer-lead](https://www.wearedevelopers.com/jobs/ext/4197937-data-management-big-data-machine-learning-engineer-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Management - Big Data/Machine Learning Engineer - Lead - **Company:** Mitchell Martin - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $139,360.0 - $160,160.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Big Data, Data Architecture, Data Governance, Data Migration, Machine Learning, Data Management - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-management-big-data-machine-learning-engineer-lead-mclean-va--330d5f92-a8d1-4032-891c-01ac8125c723 ## About the Role Data Management, Machine Learning, Big Data, Data Management, Machine Learning, Big Data, Data Analysis, Technical Support, Risk Management, Risk Analysis, * Strong background in data management, governance, or technology risk. * Experience with data migrations and conversions. * Knowledge of data governance and control concepts. * Strong analytical judgment and adaptability in evolving environments. * Excellent written and verbal communication skills., Data Management Tools | Risk Assessment Platforms | Data Governance Solutions ## Description We are seeking a Lead Engineer with expertise in data management, specifically in the areas of big data and machine learning. This role, based in Mclean, VA, is a contract position with opportunities for both W2 and C2C arrangements. The successful candidate will be responsible for assessing data risks, supporting technology integration, and developing risk mitigation strategies using generic technology tools., * Assess data risks across operational and analytical data flows. * Collaborate with stakeholders to understand evolving data architecture. * Identify and evaluate data risks and management controls. * Develop risk assessments and mitigation strategies. * Support data migration and conversion processes.