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 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 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
Required Skills:- 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
Required Education and Experience:- 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
Required Clearance- Active DoD Secret clearance
Other Notes- Some travel may be required: Must have valid driver's license and transportation. This is subject to change at the direction of the customer.
- If accommodation is needed with your application or the interview process for applicants with disabilities, please contact Human Resources at .
- Candidate must have the ability to lift up to 50 lbs.
- Must have willingness to perform duties not listed in the job description as required by INflow and our customer.
Citizenship Requirements* Please note that INflow Federal is a defense contractor.
Equal Opportunity Employer Diversity and Inclusion
INflow provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This commitment applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, leaves of absence, compensation, and training. Job applicants and employees are evaluated solely on job-related qualifications and experience.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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