^E01 Data Engineer IV

Start Date: Immediate JHNA, CTSi, and EXPANSIA have come together to form a Defense Technology platform named Aether Aerospace focused on delivering high-impact technologies, technology-enabled services and advanced manufacturing solutions to the U.S. Department of Defense and related national security customers. Backed by Falfurrias Management Partners, the platform brings together deep domain expertise across Army, Navy, and Air Force and Space Force programs, digital engineering, systems integration, and specialized manufacturing capabilities. The combined organization operates as a multi-entity aerospace and defense technology and tech-enabled services and manufacturing enterprise positioned for scalable growth, operational excellence, and long-term value creation. OVERVIEW Full-time/Permanent Employee Location: Remote As a Data Engineer IV, you will build advanced systems that collect, manage, and transform raw data into meaningful, accessible information that drives decision-making across the organization. You will serve as an emerging authority who applies extensive technical expertise to solve complex data challenges. In this role, you will work with diverse data platforms, databases, and tools to ensure the organization’s data assets are optimized for accuracy, accessibility, and performance. You will collaborate closely with data scientists, analysts, engineers, business owners, and external clients to define data needs and deliver actionable insights. You will develop and execute the strategies, policies, and practices that improve and protect the organization’s data quality and architecture. You will investigate data quality issues, lead root-cause analyses, and drive the development of new prototypes and innovative solutions. You will exercise considerable latitude in determining approaches and technical solutions, ensuring the continuous advancement of data systems. You will contribute to enterprise-wide initiatives that enhance the value and integrity of the organization's data and information assets. 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 KEY QUALIFICATIONS 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 PREFERRED ADDITIONAL QUALIFICATIONS 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 Aether Aerospace is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.