Data Engineer

About INflow Federal - founded in 2013, INflow Federal is a mission-driven small business delivering cutting-edge solutions to the Department of War (DoW) and Joint Force operations across 20+ states. Our strength comes from our people - especially the Veterans who make up over 50% of our workforce. Through our Veteran Outreach Program and employee-first culture, we invest deeply in professional growth, well-being, and innovation.

Known for our agility, transparency, and integrity, INflow combines real-world experience with emerging technologies like AI/ML to help our customers lead in a rapidly evolving defense landscape. We empower both our employees and mission partners to stay ahead - driving smarter, faster, and more secure outcomes.

INflow Federal is seeking a Data Engineer to design, develop, and maintain secure data pipelines, transformations, and analytics infrastructure supporting enterprise systems within a Department of Defense (DoD) modernization initiative. The Data Engineer will ensure accurate, reliable, and performant data flow across applications, integrating structured and unstructured data from multiple mission sources into cloud-based storage and analytics environments. This position plays a critical role in enabling interoperability, analytics, and automation across AWS Gov Cloud IL2–IL5 environments through the use of scalable data engineering practices and secure Dev Sec Ops  integration.

This is a fully remote position.

Here, your work is more than a job - it’s a journey in innovation. With opportunities to work on high-impact projects, access to the latest technologies, and a culture that thrives on creativity and collaboration, INflow Federal is where your expertise can truly make a difference.

• Design, implement, and maintain data pipelines and ETL processes supporting ingestion, transformation, and validation of mission data
• Develop and optimize data models and schemas across relational and non-relational databases to support system integrations and analytics
• Collaborate with system architects, integration developers, and data analysts to ensure data consistency, security, and integrity across cloud environments
• Implement data migration and synchronization between legacy systems, applications, and modern cloud platforms
• Utilize AWS services (Glue, Lambda, S3, RDS, Redshift, Kinesis) to build and sustain scalable and fault-tolerant data infrastructure
• Support data validation and reconciliation, performing quality checks and developing reports to ensure accuracy
• Integrate data from APIs, streaming sources, and file-based systems into centralized repositories or data lakes
• Automate data workflows using infrastructure-as-code and CI/CD principles to ensure repeatability and efficiency
• Monitor and troubleshoot data pipeline performance, ensuring adherence to SLAs and operational reliability
• Implement data encryption, masking, and access controls in compliance with DoD cybersecurity policies and RMF requirements
• Support development of dashboards and analytics products, enabling data-driven insights for mission stakeholders
• Maintain documentation and metadata repositories, including data dictionaries, lineage, and technical specifications
• Participate in Agile sprints, contributing to backlog refinement, testing, and cross-functional collaboration

• Proficiency with Python, SQL, and ETL frameworks (e.g., Apache NiFi, Talend, or AWS Glue)
• Experience with cloud data services, preferably AWS Gov Cloud (RDS, S3, Lambda, Glue, Redshift)
• Knowledge of database management systems (PostgreSQL, SQL Server, DynamoDB, MongoDB)
• Familiarity with RESTful API integration and data exchange standards (JSON, XML, CSV)
• Understanding of DoD data security and compliance standards, including encryption, RMF, and STIG adherence
• Experience developing and maintaining data validation, profiling, and transformation scripts
• Exposure to data visualization and analytics tools (Power BI, Tableau, Quick Sight)
• Familiarity with Agile software development and Dev Sec Ops  delivery frameworks
• Strong analytical and problem-solving skills for data integration and performance tuning
• Excellent communication and collaboration across technical and functional teams
• Attention to detail with focus on data accuracy and consistency
• Ability to balance data governance, security, and performance objectives
• Commitment to continuous improvement and mission impact through data-driven decision-making
• Preferred…