INflow Federal

Federal IT modernization, cybersecurity, data transformation

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeArlington County, Arlington, VA, USA$70k - $90k /yr

About the Job

Requirements

Experience with AI platforms and AI-ready data.
Proficiency with Python, SQL, and ETL frameworks such as Apache NiFi, Talend, or AWS Glue.
Experience with cloud data services, preferably AWS GovCloud services including RDS, S3, Lambda, Glue, and Redshift.
Knowledge of database management systems including PostgreSQL, SQL Server, DynamoDB, and MongoDB.
Familiarity with RESTful API integration and data exchange standards including JSON, XML, and CSV.
Understanding of DoD data security and compliance standards, including encryption, Risk Management Framework (RMF), and Security Technical Implementation Guide (STIG) adherence.
Experience developing and maintaining data validation, profiling, and transformation scripts.
Exposure to data visualization and analytics tools including Power BI, Tableau, and QuickSight.
Familiarity with Agile software development and DevSecOps delivery frameworks.
Strong analytical and problem-solving skills for data integration and performance tuning.
Attention to detail with focus on data accuracy and consistency.
Ability to balance data governance, security, and performance objectives.
Bachelor’s degree in Computer Science, Information Systems, or a related technical field, or an 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.
Must be a U.S. citizen to be considered for employment.
Must have a valid driver’s license and transportation.
Must be able to lift up to 50 lbs.

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.
Use AWS services including Glue, Lambda, S3, RDS, Redshift, and Kinesis to build and sustain scalable and fault-tolerant data infrastructure.
Support data validation and reconciliation by 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 continuous integration and continuous delivery (CI/CD) principles to ensure repeatability and efficiency.
Monitor and troubleshoot data pipeline performance, ensuring adherence to service-level agreements 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 to enable 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.

Desired Qualifications

AWS Certified Data Engineer – Associate or AWS Certified Developer certification.
CompTIA Security+ CE certification for DoD 8570 compliance.
Certified Data Management Professional (CDMP) or equivalent certification.

Salary Range: 70000 to 90000 (Currency: USD) (Pay period: per-year-salary)

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
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:

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
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

Certification Requirements

Most of our contracts require DoD 8140 (formerly 8570) compliance. We built 8140.study - our certification training platform - to help. This helps you study for certifications such as the CompTIA Security+.

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 703-594-8601.
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. Pursuant to our government contracts, candidates must be US Citizens to be considered for employment.

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.

About the Company

INflow Federal

Federal IT modernization, cybersecurity, data transformation

INflow Federal provides IT modernization and engineering services to the U.S. federal government, focusing on defense, civilian, and health sectors, including work for the Navy, Marine Corps, and National Reconnaissance Office. It modernizes networks, cybersecurity, and data using AI/ML, cloud computing, and automated operations to enable analytics-driven decision making across on-premises and cloud environments. The company differentiates itself through a federal-focused mandate and hands-on mission experience, paired with an AWS Marketplace CPPO Consulting Partner relationship that streamlines federal procurement and cloud spend management. Its goal is to accelerate digital transformation for federal customers by delivering secure, modern networks and data capabilities that support mission success.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Leesburg, VA
Founded: 2013

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