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Data Engineer

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: BE / RenXTech
Full Time, Seasonal/Temporary position
Listed on 2026-09-10
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, AWS
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer (22709)

Job Details

Job Location:

Arlington, VA 22209

Position Type:
Full Time

Job Category:
Intelligence Operations Support

Role Overview

As a Data Engineer, you will interpret business needs and select appropriate technologies, implement data governance on shared and/or master sets of data, and work with key stakeholders to plan and deliver optimal data solutions. You will create, maintain, and optimize data pipelines as workloads move from development to production, perform technical and non‑technical analyses on project issues, ensure implementations follow quality assurance metrics, and analyze data and system architecture to design and implement information system solutions.

Responsibilities
  • Identify, design and implement internal process improvements including re‑designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
  • Develop and design data pipelines to support an end‑to‑end solution.
  • Develop and maintain artifacts (e.g., schemas, data dictionaries, and transforms related to ETL processes).
  • Integrate data pipelines with AWS cloud services to extract meaningful insights.
  • Work with stakeholders to support their data infrastructure needs and assist with data‑related technical issues.
  • Design and develop robust and functional dataflows to support raw data and expected data.
  • Provide Tier3 technical support for deployed applications and dataflows.
  • Define and communicate a clear product vision for our client’s software products, aligning with user needs and business objectives.
  • Create and manage product roadmaps that reflect both innovation and growth strategies.
  • Partner with a government product owner and a product team of 7‑8 FTEs.
  • Collaborate with the rest of the data engineering team to design and launch new features.
  • Coordinate and document dataflows, capabilities, etc.
  • Occasionally support off‑hours deployment such as evening or weekends as needed.
Qualifications
  • Must be a U.S. Citizen.
  • Active TS/SCI clearance.
  • Bachelor’s degree or equivalent practical experience.
  • Expertise in distributed computing frameworks to handle large‑scale data processing.
  • Familiarity working with Amazon Web Managed Services (AWS) or any other cloud environments.
  • Experience with data stores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/Open Search and SQL.
  • Proficient utilizing Python with key libraries such as pandas and PySpark, NiFi, Airflow, AWS Lambda or similar technologies.
  • Experience with software platforms and services such as Docker, Kubernetes, JMS/SQS, SNS, and Kafka.
  • Familiar with Linux/Unix server environments.
  • Experience with Agile development methodology.
  • Publishing and/or presenting design reports.
  • Coordinating with other team members to reach project milestones and deadlines.
  • Experience with Collaboration tools such as Jira and Confluence.
  • Master’s degree or equivalent experience in a related field.
  • Familiarity and experience with the Intelligence Community (IC) and the intelligence cycle.
  • Familiarity and experience with the Department of Homeland Security (DHS).
  • Direct experience with DHS and Intelligence Community (IC) component’s data architectures and environments (IC‑Gov Cloud experience preferred).
  • Experience with cloud message APIs and usage of push notifications.
  • Keen interest in learning and using the latest software tools, methods, and technologies to solve real‑world problem sets vital to national security.
  • Working knowledge with public keys and digital certificates.
  • Experience with Dev Ops environments.
  • Expertise in various COTS, GOTS, and open‑source tools which support development of data integration and visualization applications.
  • Specialization in object‑oriented programming languages, scripting, and databases.
Equal Opportunity Employer

RenXTech, a wholly owned subsidiary of Buchanan & Edwards, is an Equal Opportunity Employer. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. Please inform the Company's personnel representative if you need assistance completing any forms or otherwise participating in the application process.

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