Data Engineer

INflow Federal

$90K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering, integration, or analytics within federal environments
  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience
  • Proficiency in Python, SQL, and ETL frameworks like Apache NiFi or AWS Glue
  • Knowledge of AWS GovCloud services and database management (PostgreSQL, SQL Server, etc.)
  • Familiarity with DoD security standards and data privacy compliance
  • Preferred certifications in AWS Data Engineering or Security+ CE

Responsibilities

  • Design and maintain data pipelines and ETL processes for mission data
  • Develop and optimize data models across relational and non-relational databases
  • Collaborate with architects and developers to ensure data security and consistency
  • Automate data workflows using infrastructure-as-code and CI/CD practices
  • Implement data migration and synchronize legacy and cloud systems
  • Monitor data pipeline performance for compliance with SLAs
  • Support analytics product development for actionable insights

Benefits

  • Fully remote work opportunity
  • Dynamic team environment within a Department of Defense context
  • Opportunities for professional development and certifications
  • Engagement in mission-critical projects that enable data-driven decision-making
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 Top 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. • 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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