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Remote Big Data Software Engineer Jobs in Virginia

VTG

Software Engineer

Chantilly, VA · Remote

Design, build, and operate large-scale Big Data systems, including persistence, partitioning ... Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ...

NAVA Software Solutions

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 ...

Whitespace

Software Engineer-AFRL

Alexandria, VA · On-site +1

$131K - $172K/yr

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared Are you ready to be ... Experience with Big Data processing tools, such as Spark/Hadoop, Google's BigQuery, AWS's Athena ...

Booz Allen Hamilton, Inc.

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 ... Experience deploying analytics workloads on a platform as a service (PaaS) and software as a ...

Whitespace

Software Engineer

Alexandria, VA · On-site +1

Software Engineer Location: Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be ... Experience with satellite imagery, remote sensing, GEOINT, or commercial geospatial data.

Synertex LLC

Senior Software Developer

Herndon, VA · On-site +1

$56 - $74/hr

Senior Software Developer National Capital Region TS/SCI Polygraph | Hybrid (Remote with Occasional ... If you're passionate about innovating through AI, ML, and big data to support national security and ...

Steampunk

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

... commercial software and a passion for solving complex problems. * 2-4 years direct experience in Data Engineering with experience in tools such as: * Big data tools: Hadoop, Spark, Kafka, etc.

Steampunk

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

... commercial software and a passion for solving complex problems. * 2-4 years direct experience in Data Engineering with experience in tools such as: * Big data tools: Hadoop, Spark, Kafka, etc.

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Exposure to PySpark or other big data frameworks is a plus for future pipeline scalability ... to include software development, database services, enterprise networking, data center ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0249294 Location: McLean,VA,US Share job via: Share Data Engineer ... of experience with big data technologies, including Databricks and distributed processing ...

ICF

On-call Software Engineer, Cloud Data Platform

Reston, VA · Remote

$119K - $143K/yr

This is a remote, on-call role that provides flexibility to work from 0 to 40 hours per week. About ... software engineering experience, including hands-on experience with relational database systems ...

Booz Allen Hamilton, Inc.

Data Scientist

Norfolk, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0245322 Location: Norfolk,VA,US Share job via: Share Data ... Experience with software development or engineering, including in an academic or professional ...

540

Data Engineer

Arlington, VA · Remote

$131K - $158K/yr

Remote within the continental United States. Periodic travel may be required Citizenship ... Experience with Git-based development workflows and modern software engineering practices * Comfort ...

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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

VTG
See more jobs at VTGexternal

Full-time

Re-posted 2 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

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