^E01 Data Engineer IV

EXPANSIA is part of Aether Aerospace, a Defense Technology platform focused on providing advanced technologies and services to the U.S. Department of Defense. As a Data Engineer IV, you will build and manage systems that transform raw data into actionable insights, collaborating with various teams to enhance data quality and accessibility.

Responsibilities:

• 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

Requirements:

• Active Secret clearance
• 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
• Experience integrating machine learning algorithms into production data systems
• Certification in cloud platforms, data engineering, or database technologies
• Experience with real-time data processing and streaming technologies
• Working knowledge of data visualization tools such as Power BI, Tableau, or similar
• Experience supporting government, defense, or contractual data environments
• Google Cloud Data Engineer, AWS Data Analytics, Azure Data Engineer Associate