Data Engineer

INflow Federal•Arlington, VA

4d•Remote

About The Position

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.

Requirements

Proficiency with Python, SQL, and ETL frameworks (e.g., Apache NiFi, Talend, or AWS Glue)
Experience with cloud data services, preferably AWS GovCloud (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, QuickSight)
Familiarity with Agile software development and DevSecOps 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
Bachelor’s degree in Computer Science, Information Systems, or a related technical field, or equivalent combination of education, technical training, or work/military experience
Minimum 5 years of experience in data engineering, integration, or analytics enablement
Experience building and optimizing data pipelines in enterprise or federal environments
Active DoD Top Secret clearance
US Citizens

Nice To Haves

Preferred certifications: AWS Certified Data Engineer – Associate or AWS Certified Developer, CompTIA Security+ CE (DoD 8570), Certified Data Management Professional (CDMP) or equivalent

Responsibilities

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