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Dhs Data Engineer Jobs in Maryland (NOW HIRING)

Data Engineer (BigQuery)

Bethesda, MD · On-site

$122K - $147K/yr

DHS, or other federal data engineering experience. * Active Public Trust or higher clearance. Clearance DHS suitability and a Public Trust background investigation are required for this role. Active ...

Data Engineer (BigQuery)

Bethesda, MD

$122K - $147K/yr

DHS, or other federal data engineering experience. * Active Public Trust or higher clearance. Clearance DHS suitability and a Public Trust background investigation are required for this role. Active ...

Data Engineer

Rockville, MD · On-site

$116K - $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

Baltimore, MD · On-site

$113K - $136K/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 ...

Claims Data Engineer

MD · On-site

$90K - $150K/yr

The Claims Data Engineer will support Barrow Wise's DHS project and perform the following duties: * Design and implement Medicare Part D Claims systems and is also knowledgeable about other Medicaid ...

Experience: 8+ years experience in data science, data engineering, analytics, modeling, or business intelligence experience supporting federal, DHS, DoD, Coast Guard, logistics, supply chain ...

Experience: 8+ years experience in data science, data engineering, analytics, modeling, or business intelligence experience supporting federal, DHS, DoD, Coast Guard, logistics, supply chain ...

Experience: 8+ years experience in data science, data engineering, analytics, modeling, or business intelligence experience supporting federal, DHS, DoD, Coast Guard, logistics, supply chain ...

Knowledge of the DHS Systems Engineering Life Cycle methodology * Familiarity working with the DHS data centers * BizTalk * IBM Websphere * Intercede Card Management System Card Production System

... DHS Systems Engineering Life Cycle methodology - Familiarity working with the DHS data centers - BizTalk - IBM Websphere - Intercede Card Management System Card Production System -Daon Identity ...

Pantheon Data was founded in 2011, initially providing acquisition and supply chain management ... Prior experience working with DOD, DHS, or an associated support federal agency is ideal.Bachelor ...

... DHS), the Department of Defense (DoD), and other Federal Civilian Agencies. Position Overview Pantheon Data is seeking a Program Analyst / Systems Engineer to support a major surface acquisition ...

... components and/or DHS Data Center specific requirements. * Work with other agencies for ... Information Systems Security Officer, Information Systems Security Engineer, or Facility Security ...

... DHS), the Department of Defense (DoD), and other Federal Civilian Agencies. Position Overview Pantheon Data is seeking a Program Analyst / Systems Engineer to support a major surface acquisition ...

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Dhs Data Engineer information

What is a DHS data engineer?

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?

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 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 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.

Are DHS Data Engineers still in demand?

DHS Data Engineers are in demand due to the increasing reliance on data management, analytics, and cybersecurity within government agencies. They typically require skills in data pipelines, cloud platforms, and programming languages like Python or SQL, making their roles essential for modern data-driven operations.

What are popular job titles related to Dhs Data Engineer jobs in Maryland?

For Dhs Data Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Dhs Data Engineer jobs in Maryland look for?

The top searched job categories for Dhs Data Engineer jobs in Maryland are:

What cities in Maryland are hiring for Dhs Data Engineer jobs?

Cities in Maryland with the most Dhs Data Engineer job openings:

Infographic showing various Dhs Data Engineer job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Engineer (BigQuery)

Northramp LLC

Bethesda, MD • On-site

$122K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Opportunity Overview 

Northramp is seeking a Data Engineer to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across IaaS, PaaS, and SaaS environments.

You will design and operate cloud-native data pipelines, warehousing, and integration layers that make the client's data accessible, reliable, and analytics-ready. The role centers on modern cloud data platforms — with BigQuery as the primary analytical data warehouse — supporting the client's enterprise reporting, AI/ML, and program management data needs. 

This role is part of Northramp’s integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to high-stakes modernization programs.  

Location & Work Arrangement 

Hybrid, based in the Washington, DC metro area. On-site presence at designated client locations is expected on a cadence aligned to program needs. Remote work is supported around mission and security requirements. This role is not open to candidates outside the DC, Maryland, and Virginia region.

The Ideal Candidate 

You build data pipelines that run reliably in production — not just demos. You’ve designed schemas and ingestion pipelines against messy, real-world source systems, you understand data quality as an engineering discipline, and you can work comfortably within the access controls and compliance requirements of a federal environment. 

Key Responsibilities 

  • Design, build, and maintain scalable ELT/ETL data pipelines ingesting structured and semi-structured data from cloud services, APIs, databases, and file sources into BigQuery and other cloud data warehouses. 
  • Develop and manage data models, schemas, and transformation logic using dbt (data build tool), SQL, and Python; enforce testing and documentation standards across the data layer. 
  • Implement and operate pipeline orchestration using Apache Airflow (Cloud Composer), Prefect, or equivalent; monitor pipeline health, SLA adherence, and failure alerting. 
  • Integrate data platforms with upstream source systems including cloud-native services (AWS RDS, Azure SQL, GCS/S3), operational databases, and third-party SaaS APIs. 
  • Implement data access controls, column-level security, and encryption within BigQuery and related cloud storage services aligned to FedRAMP High and FISMA requirements. 
  • Build and maintain data cataloging and lineage metadata practices to support data governance and auditability requirements. 
  • Collaborate with Data Scientists and analysts to ensure data availability, schema stability, and performance of analytical workloads. 
  • Develop and maintain infrastructure-as-code for data platform components using Terraform; participate in CI/CD pipeline integration for data assets. 
  • Support data quality frameworks — profiling, anomaly detection, and SLA monitoring — across production data pipelines. 
  • Contribute to ATO documentation and data security controls including data classification, retention policies, and audit logging. 

Requirements

Required Qualifications 

  • 3 to 6 years of progressive, hands-on experience in data engineering with a focus on cloud data platforms and pipeline development. 
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, or a related field. Relevant experience may substitute. 
  • Strong SQL skills and hands-on experience with BigQuery as an analytical data warehouse; familiarity with BigQuery optimization (partitioning, clustering, materialized views). 
  • Proficiency in Python for data engineering tasks (ingestion, transformation, pipeline scripting). 
  • Experience with dbt for data transformation and modeling in cloud warehouse environments. 
  • Hands-on experience with pipeline orchestration tools: Apache Airflow, Cloud Composer, or equivalent. 
  • Working knowledge of cloud storage and data services across at least one major cloud provider (GCS, S3, Azure Blob Storage, Cloud Spanner, Redshift, or equivalent). 
  • Understanding of data modeling principles (dimensional modeling, data vault, or similar) and schema design for analytical workloads. 
  • Familiarity with data governance concepts — cataloging, lineage, access controls, retention — and their application in regulated environments. 
  • Knowledge of FedRAMP, FISMA, and NIST 800-53 data security requirements. 
  • U.S. Citizenship and the ability to obtain and maintain a DHS suitability / Public Trust clearance. 

Desired Qualifications 

  • Google Cloud Professional Data Engineer certification. 
  • AWS Certified Data Analytics Specialty or Azure Data Engineer Associate. 
  • Security+ or equivalent certification. 
  • Experience with streaming data platforms (Pub/Sub, Kafka, Kinesis). 
  • DHS, or other federal data engineering experience. 
  • Active Public Trust or higher clearance. 

Clearance 

DHS suitability and a Public Trust background investigation are required for this role. Active Public Trust or higher clearance is preferred. Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to controlled or classified information. 

About Northramp 

Northramp is a federal consulting firm that helps agencies modernize and operate mission-critical systems with sound judgment, disciplined execution, and deep federal experience. We specialize in high-stakes digital transformation in highly regulated environments where failure is not an option. Our integrated delivery model brings engineers and advisors together as one team, combining technical depth with an operator’s mindset to move organizations from strategy to execution with confidence. 

We hold high standards because our clients’ missions demand it, and we support our people in meeting them. Northramp is where you are challenged, trusted, and supported — a place for people who take pride in their work, value clarity and follow-through, and want to make a meaningful impact through technology. 

Equal Opportunity 

Northramp is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. Northramp participates in E-Verify. 

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Wellness Resources
  • Employee Bonus Programs