[Remote] ^E01 Data Engineer IV
Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Company Overview