Data Engineer

INflow Federal is seeking a Data Engineer to build and maintain secure data pipelines, transformations, and analytics infrastructure for a Department of Defense modernization initiative. The role integrates mission data across cloud environments and supports interoperability, analytics, automation, and secure DevSecOps practices.

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
• 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

Requirements:

• Experience with AI platforms and AI-ready data
• 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 Secret clearance
• candidates must be US Citizens to be considered for employment
• AWS Certified Data Engineer – Associate or AWS Certified Developer, CompTIA Security+ CE (DoD 8570), Certified Data Management Professional (CDMP) or equivalent