^E01 Data Engineer IV

Bachelor’s degree with 8–10 years of experience, or Master’s degree with 6–8 years of experience Advanced expertise in designing, building, and maintaining data warehouses, pipelines, and large-scale distributed data systems Strong proficiency with modern database technologies, ETL/ELT frameworks, and big data tools Demonstrated ability to solve complex technical problems and develop innovative, scalable data solutions Experience applying data governance, quality management, metadata management, and security best practices Proficiency in programming languages commonly used in data engineering such as Python, SQL, or Scala Strong analytical and problem-solving skills Proven ability to collaborate with cross-functional teams and communicate technical concepts to non-technical audiences Experience with cloud data platforms (e.g., AWS, Azure, GCP), containerization, and modern DevOps practices Active Secret clearance

Build, maintain, and optimize systems for data collection, storage, processing, and conversion. Manage and coordinate internal and external data collection, normalization, compilation, and standard analysis. Develop, evaluate, and test scalable data solutions. Create and implement plans, policies, and practices for data protection, quality, delivery, and value. Investigate data quality issues, conduct root-cause analysis, and resolve errors. Process, clean, and structure unstructured or complex datasets. Integrate innovative tools, algorithms, and techniques into existing data systems. Design, build, and execute complex data projects. Determine software and hardware architecture needs and guide decisions. Serve as a data subject matter expert and collaborate with business owners and external clients. Generate operational and specialized reports and present findings. Maintain, monitor, and enhance the data architecture and information quality. Recommend and implement improvements to existing data structures, pipelines, and platforms. Provide technical support to operational strategies. Ensure 100% of planned hours are worked and recorded. Identify opportunities for growth within the work area and forward to leadership. Participate in growth efforts as requested. Ensure all contractual deliverables are met/exceeded. Complete personal PDP and attend Staff Meeting and Storytime. Build productive and positive professional relationships with clients. Execute all contract requirements as assigned. Perform other related duties as assigned.