Data Engineer

INflow Federal•Arlington, VA

179d•$70,000 - $90,000•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 modernization initiative. The role ensures accurate, reliable, and performant data flow across applications, integrating structured and unstructured data from multiple mission sources into cloud-based storage and analytics environments. It supports interoperability, analytics, and automation across AWS GovCloud IL2–IL5 environments through scalable data engineering practices and secure DevSecOps integration. This is a fully remote position. The position collaborates with system architects, integration developers, data analysts, and mission stakeholders to maintain data consistency, security, and integrity. It includes pipeline development and operations, database and data-model work, migration and synchronization, data quality checks, analytics support, documentation, and participation in Agile delivery. Applicants must hold an active DoD Secret clearance and be U.S. citizens. A valid driver’s license and transportation are required because some travel may be required. The candidate must be able to lift up to 50 pounds and be willing to perform duties not listed in the job description as required by INflow and its customer. The stated likely salary range is $70,000–$90,000 per year; compensation may vary based on experience, location, and contractual requirements and may fall outside the range.

Requirements

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.
At least 5 years of experience in data engineering, integration, or analytics enablement.
Experience building and optimizing data pipelines in enterprise or federal environments.
Proficiency with Python, SQL, and ETL frameworks such as Apache NiFi, Talend, or AWS Glue.
Experience with cloud data services, preferably AWS GovCloud services such as RDS, S3, Lambda, Glue, and Redshift.
Knowledge of database management systems including PostgreSQL, SQL Server, DynamoDB, or MongoDB.
Familiarity with RESTful API integration and data exchange standards such as JSON, XML, and 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.
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 skills across technical and functional teams.
Attention to detail and 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.
Active DoD Secret clearance.
U.S. citizenship.
Ability to lift up to 50 pounds.
Valid driver’s license and transportation; some travel may be required.
Willingness to perform duties not listed in the job description as required by INflow and its customer.

Nice To Haves

Exposure to data visualization and analytics tools such as Power BI, Tableau, or QuickSight.
AWS Certified Data Engineer – Associate or AWS Certified Developer certification.
CompTIA Security+ CE certification (DoD 8570).
Certified Data Management Professional (CDMP) certification or equivalent.

Responsibilities

Design, implement, and maintain data pipelines and ETL processes for ingesting, transforming, and validating mission data.
Develop and optimize data models and schemas across relational and non-relational databases for system integrations and analytics.
Collaborate with system architects, integration developers, and data analysts to maintain 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, fault-tolerant data infrastructure.
Perform data validation and reconciliation, quality checks, and reporting 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.
Monitor and troubleshoot pipeline performance and ensure adherence to SLAs and operational reliability.
Implement data encryption, masking, and access controls in compliance with DoD cybersecurity policies and RMF requirements.
Support dashboards and analytics products for mission stakeholders.
Maintain documentation and metadata repositories, including data dictionaries, lineage, and technical specifications.
Participate in Agile sprints, backlog refinement, testing, and cross-functional collaboration.