^E01 Data Engineer IV

• Build, maintain, and optimize systems that collect, store, process, and convert raw and complex data into usable formats for analytics and reporting 

• Manage and coordinate internal and external data collection, normalization, compilation, and standard analysis across diverse platforms and projects 

• Develop, evaluate, and test scalable data solutions that support organizational goals and data-driven decision-making 

• Create and implement plans, policies, and practices that ensure data protection, quality, delivery, and value across all data programs 

• Investigate data quality issues, conduct root-cause analysis, resolve errors, and design process improvements and prototypes 

• Process, clean, and structure unstructured or complex datasets to prepare them for analysis and insight generation 

• Integrate innovative tools, algorithms, and techniques into existing data systems in partnership with engineering teams 

• Design, build, and execute complex data projects focused on collecting, parsing, managing, analyzing, and visualizing large datasets 

• Determine software and hardware architecture needs and guide decisions to support system performance and scalability 

• Serve as a data subject matter expert and collaborate with business owners and external clients to define analytical approaches and deliver insights 

• Generate operational and specialized reports supporting business initiatives and present complex findings to stakeholders in clear, actionable ways 

• Maintain, monitor, and enhance the data architecture and information quality across all applications and systems 

• Recommend and implement improvements to existing data structures, pipelines, and platforms to enhance performance and usability 

• Provide technical support to operational strategies aligned within your program and initiatives that optimize processes, enhance productivity, and ensure quality across all program functions 

• Ensure 100% of planned hours are worked and recorded 

• Identify and forward to your leadership any opportunities that could lead to growth within your work area 

• Participate in growth efforts as requested 

• Ensure all contractual deliverables are met/exceeded to the customer's satisfaction 

• Complete personal PDP and attend Company meetings (with camera on) 

• Within your program, build productive and positive professional relationships with clients 

• Execute all contract requirements as assigned in accordance with the contract specific LCAT and requirements 

• Perform other related duties as assigned 

Clearance: Active Secret clearance 
Education and Years of Experience: Bachelor’s degree with 8–10 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 with the ability to evaluate data from multiple systems and identify optimization opportunities 

• 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