Data Engineer

About the role

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.

Job Overview:

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 GovCloud IL2–IL5 environments through the use of scalable data engineering practices and secure DevSecOps 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.

Specific Duties and Responsibilities: - Design, implement, and maintain data pipelines and ETL processes for AI applications supporting ingestion, transformation, and validation of mission data

- Develop and optimize data models and schemas for AI platforms 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