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Dhs Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

We are seeking a Data Engineer to join our team in Washington, DC, in support of the Department of Homeland Security (DHS), Immigration and Customs Enforcement (ICE), Law Enforcement Systems and ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

... DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other ... Client is seeking a data engineer to grow our team performing cutting edge client work in mission ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

... DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other ... With overwhelming amounts of large data, client is seeking a data engineer to support data ...

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a ... Experience supporting federal government programs (DoD, Intelligence Community, DHS, or similar)

Data Engineer

Centreville, VA · Hybrid

$113K - $136K/yr

... DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other ... Client is seeking a data engineer to grow our team performing cutting edge client work in mission ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

... DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other ... Client is seeking a data engineer to grow our team performing cutting edge client work in mission ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

... DHS), Department of State (DOS), the U.S. Intelligence Community, Law Enforcement, and other ... Client is seeking a data engineer to grow our team performing cutting edge client work in mission ...

Data Engineer

Fairfax, VA

$117K - $140K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Ideally, you will also have: -Experience creating and consuming APIs. -Experience with DHS and ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Ideally, you will also have: -Experience creating and consuming APIs. -Experience with DHS and ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Ideally, you will also have: -Experience creating and consuming APIs. -Experience with DHS and ...

Data Engineer

Fairfax, VA

$117K - $140K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Ideally, you will also have: -Experience creating and consuming APIs. -Experience with DHS and ...

Lead Consultant Data Engineer (DHS)

Arlington, VA · On-site

$131K - $158K/yr

AWS Certified Data Analytics - Specialty * Python or Scala Programming Certification * Ability to hold and maintain a DHS Public Trust (requires US Citizenship) This range represents the minimum and ...

Data Engineer

Mclean, VA

$125K - $160K/yr

We are looking for seasoned Data Engineer to work with our team and our clients to develop ... Active DHS CBP Public Trust Clearance or higher; * 2-4 years industry experience coding commercial ...

Data Engineer

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Active DHS CBP Public Trust Clearance or higher; * 2-4 years industry experience coding commercial ...

Data Engineer

Mclean, VA

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Active DHS CBP Public Trust Clearance or higher; * 2-4 years industry experience coding commercial ...

As a Data Engineer, you will be required to interpret business needs and select appropriate ... Direct Experience with DHS and Intelligence Community (IC) component's data architectures and ...

Sr. Data Engineer (AI/ML)

Reston, VA · On-site

$100K - $160K/yr

DHS Suitability - contract requires U.S. Citizenship Must Have Qualifications: 5+ years of experience in Data/ML engineering (if school experience is used, at most that would contribute to 4 years of ...

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Dhs Data Engineer information

What are some common challenges that DHS Data Engineers face when working with sensitive government data?

DHS Data Engineers often encounter challenges related to handling and securing sensitive data, including adhering to strict privacy regulations and security protocols. They must ensure data integrity and compliance with federal standards, which may require additional steps in data processing and storage. Collaborating with cross-functional teams, such as cybersecurity and legal departments, is common to maintain compliance. Additionally, managing legacy systems and integrating them with modern data infrastructure can be complex and time-consuming.

What are DHS Data Engineers?

DHS Data Engineers are professionals who design, build, and maintain data systems and infrastructure for the Department of Homeland Security (DHS). Their work involves collecting, processing, and organizing large volumes of data to support security operations and decision-making. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible, reliable, and secure. DHS Data Engineers often collaborate with data analysts, scientists, and IT specialists to ensure the efficient use of data across the organization.

What are the key skills and qualifications needed to thrive as a DHS Data Engineer, and why are they important?

To thrive as a DHS Data Engineer, you need strong expertise in data modeling, ETL processes, and programming languages such as Python or SQL, typically backed by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (e.g., AWS, Azure), and relevant certifications like Certified Data Engineer are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you excel when collaborating with cross-functional teams and addressing complex data challenges. These skills are essential to ensure secure, efficient data management and support critical decision-making within DHS operations.

What is the difference between Dhs Data Engineer vs Data Analyst?

AspectDhs Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Math, or related; proficiency in data visualization tools
Work EnvironmentDesigning and maintaining data infrastructure in tech or government sectorsInterpreting data, creating reports, and supporting decision-making
Employer & Industry UsageTech companies, government agencies, large enterprisesBusiness, finance, healthcare, and government sectors

The Dhs Data Engineer focuses on building and maintaining data systems, while the Data Analyst interprets data to generate insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are popular job titles related to Dhs Data Engineer jobs in Virginia? For Dhs Data Engineer jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Dhs Data Engineer jobs? Cities in Virginia with the most Dhs Data Engineer job openings:
Infographic showing various Dhs Data Engineer job openings in Virginia as of June 2026, with employment types broken down into 3% As Needed, 31% Full Time, 58% Part Time, and 8% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Lead Consultant Data Engineer (DHS)

Lead Consultant Data Engineer (DHS)

Excella

Arlington, VA

$131K - $158K/yr

Other

Posted 8 days ago


Job description

Overview 

Lead Data Engineers at Excella play a key role in designing and building modern data solutions, including data lakes and cleansed data repositories. They develop robust, scalable, and sustainable data pipelines using batch and streaming technologies. Senior Data Engineers collaborate with cross-functional teams, including Architects, Data Scientists, and DevOps, to ensure data availability, quality, and integration.

Responsibilities:

  • Develop and manage data processes to ensure availability and usability.
  • Create and automate data pipelines and platforms.
  • Write clean, efficient, and well-documented code to support data engineering solutions.
  • Monitor and ensure data quality through automated testing frameworks.
  • Collaborate with Architects, Product Owners, Data Scientists, and DevOps to design, build, and maintain scalable data solutions.
  • Research data acquisition sources and evaluate suitability.
  • Integrate data management solutions into client environments.
  • Identify and mitigate risks to data while ensuring data recovery plans.
  • Build and maintain data repositories, including data warehouses, data lakes, and operational data stores. 

Qualifications:

  • 8+ years of professional experience in data engineering or related fields.
  • Proven ability to build robust, scalable data pipelines and production-grade ETL/ELT systems.
  • Strong proficiency in SQL, Python, and orchestration tools like Airflow and dbt.
  • 2+ years of hands-on experience with Databricks, including development, data processing, and pipeline optimization in a cloud-based environment
  • Hands-on experience with big data technologies such as Spark, Kafka, and file formats like Parquet, Delta Lake, and Iceberg.
  • Deep experience with AWS cloud data platforms (e.g., AWS Glue, S3, Redshift, EMR, BigQuery, or Azure equivalents).
  • Solid understanding of data modeling, performance optimization, and designing secure, well-structured data stores.
  • Familiarity with data lake and analytical architecture patterns, including Star Schema, schema-on-read, and data quality frameworks.
  • Experience with CI/CD, Git, infrastructure-as-code (e.g., Terraform), and NoSQL databases.
  • Effective communicator with experience working in Agile environments (Scrum/Kanban) and collaborating across technical and non-technical teams.
  • Strong problem-solving skills, a growth mindset, and a passion for learning new technologies.
  • One or more of the following certifications:
    • AWS Certified Machine Learning - Specialty 
    • Data Science Council of America (DASCA) Certifcations
    • Databricks Certified Machine Learning Associate
    • Databricks Certified Developer for Apache Spark
    • Databricks Certified Data Engineer Associate
    • Databricks Certified Data Engineer Professional
    • AWS Certified Data Analytics - Specialty 
    • Python or Scala Programming Certification
  • Ability to hold and maintain a DHS Public Trust (requires US Citizenship) 

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