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Posted May 24, 2026

Data Engineering Lead - 100% Remote

Data Engineering Lead 100% Remote Duration 12 months + Salary DOE US Citizens and those authorized to work in the U.S are encouraged to apply. We are unable to sponsor at this time. Key Responsibilities • Lead the definition and breakdown of technical deliverables, assessing complexities and levels of effort. • Collaborate with vendor and internal teams to address technical issues. • Drive planning and prioritization in conjunction with the SCRUM master. • Coordinate with onsite and offshore teams for timely project delivery. • Collaborate with product managers to prioritize features, communicate with stakeholders, and clarify requirements. • Collect and manage user-reported issues, ensuring prompt resolution and communication. • Define comprehensive test plans, oversee their execution, and document results. • Prepare documentation and deliver user training to facilitate the adoption of new tools and features. • Design and implement data architecture and strategy, leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra. • Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality. • Design and maintain data models and schemas, incorporating Unity Catalog and Collibra data governance practices. • Ensure data security and compliance with regulations using Databricks and Privacera's features. • Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices. • Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups. • Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions. • Lead and guide a team of data engineers, providing technical direction and mentorship. • Your expertise will be instrumental in shaping data-driven solutions, driving innovation, and ensuring the integrity and security of our data ecosystem. Your role will involve both technical leadership and hands-on contributions to deliver impactful results.