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Remote Data Encryption Jobs in Dulles, VA (NOW HIRING)

VTG

Software Engineer

Chantilly, VA · Remote

Implement data security and governance controls including LDAP integration, encryption, and ... Bachelor's degree in Geospatial Intelligence, Geography, Remote Sensing, Intelligence Studies ...

Fannie Mae

Cloud Engineer (Advisor)

Reston, VA · On-site +1

$155K - $209K/yr

Implementing security best practices, access control, and data encryption * Compliance : Adhering ... remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for ...

Fannie Mae

Cloud Engineer (Advisor)

Reston, VA · On-site +1

$155K - $209K/yr

Implementing security best practices, access control, and data encryption * Compliance : Adhering ... remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for ...

Pantheon Data

Senior Cloud Engineer

Reston, VA · Remote

$100K - $150K/yr

... and encryption via AWS KMS.Operational Tooling: Proficiency with AWS Systems Manager (SSM) for ... If the position is remote or hybrid, you may periodically work from a Pantheon Data office location ...

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Showing results 21-40

All JobsData Encryption JobsRemote Data Encryption JobsRemote Data Encryption Jobs in Dulles, VA

Remote Data Encryption information

See Dulles, VA salary details

$44K

$128.4K

$175.7K

How much do remote data encryption jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data encryption in Dulles, VA is $128,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Encryption vs Remote Data Analyst?

AspectRemote Data EncryptionRemote Data Analyst
Required CredentialsKnowledge of encryption standards, cybersecurity certifications (e.g., CISSP, CompTIA Security+)Degree in data analysis, statistics, or related field; proficiency in data tools
Work EnvironmentFocus on security systems, encryption tools, and cybersecurity protocolsData interpretation, reporting, and visualization in analytics platforms
Industry UsageIT security, cybersecurity firms, financial institutionsMarket research, finance, healthcare, and tech companies

Remote Data Encryption specialists focus on securing data through encryption methods, ensuring confidentiality and compliance. Remote Data Analysts interpret and visualize data to support business decisions. While both roles work remotely and handle data, their core functions and required skills differ significantly.

What are popular job titles related to Remote Data Encryption jobs in Dulles, VA?

For Remote Data Encryption jobs in Dulles, VA, the most frequently searched job titles are:

What job categories do people searching Remote Data Encryption jobs in Dulles, VA look for?

The top searched job categories for Remote Data Encryption jobs in Dulles, VA are:

What cities near Dulles, VA are hiring for Remote Data Encryption jobs?

Cities near Dulles, VA with the most Remote Data Encryption job openings:

Remote Data Encryption jobs near you
Infographic showing various Remote Data Encryption job openings in Dulles, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,395 per year, or $61.7 per hour.

Software Engineer

VTG

Chantilly, VA • Remote

Full-time

Re-posted 7 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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