Data Engineer

Note: This position is contingent upon contract award. Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. We build the technologies that help operators and organizations see what’s happening, make faster and better decisions, take action with confidence, and stay ready for what comes next. Our work includes advanced sensors, autonomous systems, mission command and control software, AI-enabled training and simulation, and tools that improve logistics, maintenance, and overall readiness. For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries. When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on. Accelint brings together the talents of Hypergiant, Forward Slope, Systems Innovation Engineering, SoarTech, and Highbury Defense Group under one mission, with each entity contributing deep expertise in its domain. This role is part of our Systems Innovation Engineering (SIE) division, which specializes in readiness and logistics, autonomous platforms, and sensor technologies. SIE develops resilient, integrated systems that enhance situational awareness, sustain mission readiness, and deliver reliable performance across air, ground, and maritime environments. Job Description Full Time Onsite/Hybrid Preferred Data Engineer provides technical leadership, analytical expertise, and program oversight in the areas of data engineering, modeling and simulation (M&S), and systems analysis. This position is responsible for managing the technical execution of technical data modeling efforts in direct support of Navy and Department of Defense (DoD) programs. Integrates multidisciplinary engineering methodologies to ensure that model development, data management, and analytical outputs align with program objectives, technical standards, and customer requirements. The ideal candidate has 2 to 5 years of experience using Orchestration tools (Apache Airflow) and data processing tools (Apache Spark) with a demonstrated ability to collaborate with cross-functional teams. Duties & Responsibilities Collaborate with software developers, data scientists, and product managers to understand requirements, gather specifications and align on project goals. Contribute technical expertise in data engineering to design and implement data solutions that support software development initiatives. Participate in planning sessions to develop data pipeline architecture that align with project requirements. Design data ingestion, transformation, and storage workflows that are scalable and meet software performance requirements. Implement data quality checks and validation procedures to ensure data accuracy and integrity within software products. Conduct comprehensive testing, including unit, integration, and system testing ensuring application quality and functionality stay in specifications. Debug and resolve complex software defects and issues. Document data engineering processes, pipeline configurations, and data flows to ensure consistency and future support. Ensure accuracy and completeness of all documentation. Foster effective collaboration with cross-functional teams to achieve project objectives. Communicate complex technical information clearly and effectively. Utilize advanced software development tools and methodologies to support project requirements. Integrate software development tools and methodologies into the workflow to improve efficiency and accuracy. Manage projects, including planning, execution, and delivery. Coordinate with cross-functional teams to ensure project objectives are met on time and within budget. Performs other duties as assigned. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field required; advanced degree, relevant internship experience, or equivalent hands‑on industry experience may be considered in lieu of traditional qualifications. Proficient with Orchestration tools (Apache Airflow) and data processing tools (Apache Spark) Advanced knowledge of object storage and management of unstructured data Experience utilizing cross-domain solutions in a secure environment Advanced knowledge of containerization technologies supporting enterprise software deployment (Kubernetes, Docker, Helm, etc.) Proficient knowledge of data engineering workflows such as extract, transform, load (ETL) processes and data warehousing Advanced level knowledge of software development processes including Agile methodologies. Conversant with object-oriented programming languages Excellent written and oral communication. Currently holds an active U.S. national security clearance or be able to receive and maintain one. Preferred Qualifications Current CompTIA Security + Certification Experience with Typescript/Express and FastAPI frameworks Experience with PostgreSQL Experience with software development frameworks and libraries. In-depth understanding of the aerospace and defense industry. Knowledge of DoD software development policies and requirements Physical Requirements Prolonged periods sitting at a desk and working on a computer. Must be able to lift up to 15 pounds at times. This position is hybrid located in St. Paul, MN. Fully remote candidates may be considered with increased expectation for travel. This position may require the ability to travel up to 5%. Hybrid work arrangements are strongly preferred for this role to support regular in‑person collaboration with program and project teams. Fully remote candidates may still be considered; however, remote employees should expect increased travel requirements to support onsite team engagement. Employees may telework on designated days or as needed with supervisor approval, provided they maintain established communication expectations and effectively meet job responsibilities. Travel may be required 1–2 times per month to customer sites, subcontractor locations, and other company offices. Clearance Requirements Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. Pay Scales & Benefits The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. Benefits include… Paid Time Off Paid Company Holidays Optional HSA and FSA Base and Voluntary Life Insurance Short Term & Long-Term Disability Insurance 401k Matching Employee Assistance Program The pay range for this role is: 101,998 - 130,630 USD per year (St. Paul, MN) #J-18808-Ljbffr Accelint