Data Engineer

INflow Federal

$90K — $130K *
US-AnywhereRemote in Arlington, VA
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data engineering or analytics enablement
  • Bachelor's degree in Computer Science or related field
  • Proficiency in Python, SQL, and ETL frameworks
  • Experience with AWS GovCloud data services
  • Active DoD Secret clearance
  • Knowledge of DoD cybersecurity and compliance standards

Responsibilities

  • Design and implement secure data pipelines and ETL processes
  • Optimize data models and schemas for system integration
  • Collaborate with architects and analysts to ensure data integrity
  • Implement data migration and sync between legacy and cloud systems
  • Utilize AWS services for scalable data infrastructure
  • Monitor and troubleshoot data pipeline performance
  • Automate workflows using CI/CD and infrastructure-as-code

Benefits

  • Fully remote work environment
  • Engage in high-impact DoD modernization projects
  • Opportunity to work with advanced cloud technologies
  • Participation in Agile sprints and cross-functional teams
  • Access to continuous learning and improvement initiatives
Full Job Description
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.

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 [redacted].
  • 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.

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