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Remote Big Data Software Engineer Jobs in Virginia

Overview We are looking for a Software Engineer / Data Engineer to join our team. What will you do? * Design, build, and operate large-scale Big Data systems, including persistence, partitioning,

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

NAVA Software solutions is looking for a Data Engineer Details: Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java,

Software Engineer-AFRL

Alexandria, VA · On-site +1

$131K - $172K/yr

Mid-Senior Level Software Engineer Location: Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0241523 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0247542 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0247120 Location: Arlington,VA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial

Software Engineer Location: Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba Whitespace is building Iris, a trust-first Agentic AI platform for global

Senior Software Developer

Herndon, VA · On-site +1

$56 - $74/hr

Senior Software Developer National Capital Region TS/SCI Polygraph | Hybrid (Remote with Occasional On-Site) | Immediate Hire Join Synertex and bring your expertise to a mission that matters. We're

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Company Overview: For over 25 years, Edgesource Corporation has served as an innovative technology service provider for the Department of Defense (DOD), Department of Homeland Security (DHS),

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

Overview In today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

Overview In today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

540 is seeking a Data Engineer to support a mission-critical federal health data modernization initiative. The team is bringing together data from diverse defense and federal systems to build

Engineer 6, Machine Learning, Data & AI

Reston, VA · On-site +1

$119K - $143K/yr

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions

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Infographic showing various Remote Big Data Software Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Software Engineer

Chantilly, VA • Remote

Full-time

Re-posted 12 days ago


Job description

Overview

We are looking for a Software Engineer / Data Engineer to join our team. 


What will you do?
  • Design, build, and operate large-scale Big Data systems, including persistence, partitioning, indexing, and search capabilities.

  • Develop and maintain Java-based applications and APIs.

  • Architect and implement cloud-native solutions using AWS or comparable cloud platforms.

  • Design and optimize high-performance graph databases containing tens of billions of edges.

  • Develop graph traversal capabilities using Apache TinkerPop, Gremlin, JanusGraph, or similar technologies.

  • Build and maintain NoSQL and relational database solutions supporting complex Big Data applications.

  • Design partition and sort key strategies to ensure consistent system performance.

  • Develop aggregation operations to de-duplicate records across continuous data feeds.

  • Build and operate serverless data processing pipelines using AWS Lambda, Step Functions, and PySpark.

  • Design and operate large-scale geospatial indexing solutions using GeoMESA.

  • Develop and maintain Kubernetes-based containerized environments.

  • Implement DevSecOps and agile development practices in production environments.

  • Maintain configuration management using Git-based repositories.

  • Facilitate technical discussions across cross-functional teams to develop mission-aligned implementation strategies.

  • Ensure compliance with federal security, regulatory, and accreditation requirements.

  • Implement data security and governance controls including LDAP integration, encryption, and auditing.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience
  • Demonstrated experience with Java development.
  • Experience designing and operating Big Data systems.
  • Experience developing and maintaining APIs.
  • Experience designing cloud-native architectures using AWS or similar cloud platforms.
  • Experience building and optimizing large-scale graph databases using technologies such as Cassandra, DynamoDB, Neo4j, or JanusGraph.
  • Experience developing graph traversal capabilities using Apache TinkerPop and Gremlin.
  • Experience designing and operating NoSQL solutions.
  • Experience in data modeling, partition sharding, stream processing, and metrics gathering.
  • Experience developing high-performance data processing pipelines.
  • Experience with Kubernetes, Docker, and container orchestration.
  • Experience with Apache NiFi.
  • Experience implementing DevSecOps and agile methodologies.
  • Experience with data security controls including encryption and centralized access management (LDAP).
  • Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO, Parquet, Protocol Buffers, etc.).
  • Experience with relational and NoSQL databases including PostgreSQL, MariaDB, MongoDB, Cassandra, ELK, MinIO, and AWS S3.
  • Experience working in Linux environments such as CentOS or Rocky Linux.
  • Experience with Python and related libraries.
  • Experience supporting large collaboration and development environments
  •  
Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience
  • Demonstrated experience with Java development.
  • Experience designing and operating Big Data systems.
  • Experience developing and maintaining APIs.
  • Experience designing cloud-native architectures using AWS or similar cloud platforms.
  • Experience building and optimizing large-scale graph databases using technologies such as Cassandra, DynamoDB, Neo4j, or JanusGraph.
  • Experience developing graph traversal capabilities using Apache TinkerPop and Gremlin.
  • Experience designing and operating NoSQL solutions.
  • Experience in data modeling, partition sharding, stream processing, and metrics gathering.
  • Experience developing high-performance data processing pipelines.
  • Experience with Kubernetes, Docker, and container orchestration.
  • Experience with Apache NiFi.
  • Experience implementing DevSecOps and agile methodologies.
  • Experience with data security controls including encryption and centralized access management (LDAP).
  • Experience working with structured, semi-structured, and unstructured data formats (CSV, JSON, AVRO, Parquet, Protocol Buffers, etc.).
  • Experience with relational and NoSQL databases including PostgreSQL, MariaDB, MongoDB, Cassandra, ELK, MinIO, and AWS S3.
  • Experience working in Linux environments such as CentOS or Rocky Linux.
  • Experience with Python and related libraries.
  • Experience supporting large collaboration and development environments
  •  
Education:UNAVAILABLEEmployment Type: FULL_TIME