Data Engineer

INflow Federal

Data Engineer maintaining secure data pipelines and analytics infrastructure for defense modernization. Collaborating with cross-functional teams to ensure data consistency and security in cloud environments.

Posted 5/12/2026full-timeRemote • Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSCloudCyber SecurityDynamoDBETLMongoDBPostgresPythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLETL frameworksApache NiFiTalendAWS Gluedata validation scriptsdata profiling scriptsdata transformation scriptsdata modeling

Soft Skills

analytical skillsproblem-solving skillscommunicationcollaborationattention to detailcontinuous improvementdata governancesecurity awarenessperformance tuningcross-functional collaboration

Certifications

AWS Certified Data Engineer – AssociateAWS Certified DeveloperCompTIA Security+ CECertified Data Management Professional