Data engineer jobs in the United States

Find data engineer jobs across the United States. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 4, 2026

Hiring at a glance

View jobs

Open jobs: 4,568
Employers: 2,019

Advertised starting pay

Average starting payUSD / year: $125,868Across 803 listings
Average starting payUSD / hour: $60.65Across 467 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 12%561 listings
Hybrid: 6%287 listings
On-site: 8%343 listings

Not specified: 74% (3,377 listings)

Employers hiring include Eliassen Group (295), Booz Allen Hamilton_United States (74), Insight Global (67).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in the United States

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Added 24 days ago
Senior Data Pipeline Engineer/Developer
myDNA, Inc.
Houston, TX
Added 24 days ago
ME00559-Data Engineer
Momentum Engineering, Inc.
Washington, DC
Added 24 days ago
Sr Data Engineer
Karoo Health
Remote, United States
Added 24 days ago
Data Engineer
Altamira Technologies Corp.
Suitland, MD
…innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other…
Added 24 days ago
BL
Principal Data Engineer
BayRock Labs
Milpitas, CA
- $80 to $85 USD / hour
…development, leveraging cutting-edge technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters professional growth and work-life balance. Join us to work on…
Added 24 days ago
Senior Data Engineer
RTS Labs
Richmond, VA
Welcome to RTS, the innovation lab where data meets discovery! As a premier AI, Data, and Software consulting firm, we specialize in harnessing the power of data to brew up groundbreaking…
Added 24 days ago
Data Engineer
RTS Labs
Richmond, VA
Welcome to RTS, the innovation lab where data meets discovery! As a premier AI, Data, and Software consulting firm, we specialize in harnessing the power of data to brew up groundbreaking…
Added 24 days ago
C
Senior Data Engineer
Current
Remote, United States
- $140,000 to $150,000 USD / year
Added 24 days ago
Data Engineer (DEA)
Expression
Arlington, VA
Expression is seeking a Data Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. This program is focused on…
Added 24 days ago
Data Engineer
Expression
Arlington, VA
Expression is seeking an experienced Data Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions for the Department of Defense CDAO…
Added 24 days ago
Data Engineer- Senior TS/SCI
Parsons Technical Services, Inc.
VA
Parsons is looking for a highly skilled Senior Data Engineer to join our
Added 24 days ago
Data Engineer TS/SCI
Parsons Technical Services, Inc.
VA
Parsons is looking for a highly skilled Senior Data Engineer to join our
Added 24 days ago
Principal Data Engineer
LEIDOS, INC.
Bethesda, MD
Leidos has an exciting opportunity for a Data Engineer in our Intel Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer…
Added 24 days ago
Senior Data Engineer
Luna Health
San Diego, CA
Added 24 days ago
Data Engineer 2
Freedman HealthCare
Remote, United States
footprint. We have helped more than 30 states build and use healthcare data to improve care quality,
Added 24 days ago
Data Engineer 1
Freedman HealthCare
Remote, United States
footprint. We have helped more than 25 states build and use healthcare data to improve care quality,
Added 24 days ago
LT
Staff ML Data Engineer
LiveView Technologies
Seattle, WA
- $171,900 to $221,000 USD / year
Added 24 days ago
Senior Director, Data Engineer
Trimont
Atlanta, GA
Added 24 days ago
T
Senior Data Engineer
Triumph
San Francisco, CA
- $200,000 to $400,000 USD / year
As our first dedicated data engineering hire, you'll own the full data stack: ingestion, transformation, warehouse architecture, pipeline reliability, and the systems that connect model…
Added 24 days ago
TJ
Principal Data Engineer - IAA
The Job Sauce
Chicago, IL
- $171,000 to $256,000 USD / year
IAA is seeking a Principal Data Engineer to serve as the most senior individual contributor and technical authority across our data engineering function. This is a hands-on, deeply…
Added 24 days ago
R
Sr. Data Engineer (Remote)
Rula
Remote, United States
- $152,000 to $186,000 USD / year
Added 24 days ago
Senior Data Engineer
Outmarket AI
Remote, United States
…and proposal generation, all grounded in our customers’ own data and source-cited so teams can trust the…
Added 24 days ago
Data Engineer
Outmarket AI
Remote, United States
…and proposal generation, all grounded in our customers’ own data and source-cited so teams can trust the…
Added 24 days ago
AC
Lead Data Engineer
AIR Communities
Denver, CO
- $135,000 to $160,000 USD / year
Added 24 days ago
BA
Founding Data Engineer
Broccoli AI
San Francisco, CA
- $180,000 to $230,000 USD / year

Expression

Data Engineer

Arlington, VA, United States

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Aug 18, 2026

Original job description

Expression is seeking an experienced Data Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions for the Department of Defense CDAO ADA IR program.

The Data Engineer will work as part of a multidisciplinary team integrating data engineering, advanced analytics, machine learning, and software engineering capabilities into mission-critical environments supporting Combatant Commands. This role will design and deploy data pipelines, preprocessing workflows, feature-engineering strategies, reusable data services, and machine learning capabilities within secure, containerized environments.

The successful candidate will collaborate with product managers, full-stack developers, platform and DevSecOps engineers, data scientists, and mission stakeholders to transform structured and unstructured data into operational insights and decision-support capabilities. The role combines data engineering, applied data science, and production ML responsibilities and emphasizes reproducibility, testing, secure deployment, technical communication, and continuous delivery.

Clearance: Top Secret clearance required ability to obtain SCI. Location: Full time onsite at the Pentagon in Washington DC.

Key Responsibilities

Design, develop, and maintain reusable services for data ingestion, transformation, preprocessing, and feature engineering supporting AI/ML workflows.
Build scalable data pipelines and workflows supporting structured and unstructured mission data.
Implement data science capabilities such as entity resolution, classification, clustering, prediction, anomaly detection, pattern recognition, and decision-support functions.
Develop services within secure, containerized environments using established CI/CD, version-control, testing, and documentation standards.
Collaborate with DevSecOps engineers to integrate data and ML services into secure production environments using technologies such as Databricks, Docker, and Terraform.
Ensure production services meet applicable performance, reliability, security, and architectural requirements for DoD enterprise and cloud-native environments.
Develop and deploy standalone and embedded machine learning models supporting mission decision-making, automation, anomaly detection, and pattern recognition.
Select and implement appropriate modeling approaches using Python, Spark, and cloud-native ML frameworks such as SageMaker and MLflow.
Maintain reproducibility and interpretability of model outputs to support mission transparency and audit requirements.
Package model-inference services using documented APIs for integration with end-user applications, operational dashboards, and other mission capabilities.
Conduct exploratory data analysis to identify patterns, trends, data gaps, and opportunities across structured and unstructured datasets.
Develop data visualizations, analytical outputs, and interpretive summaries supporting stakeholder understanding and product-team decisions.
Translate analytical findings into actionable recommendations using visual, narrative, and quantitative communication methods.
Develop and contribute reusable analysis templates, queries, and analytical workflows to improve delivery efficiency.
Engage product managers and mission users to define data, analytical, and model requirements aligned with operational objectives.
Collaborate with software, platform, and DevSecOps engineers to ensure data science components align with technical constraints, architecture, and deployment patterns.
Participate in Agile sprint planning, retrospectives, demonstrations, and related delivery activities.
Maintain documentation supporting technical accountability, reproducibility, operational handoff, and sustainment.

Required Qualifications

One of the following combinations of education, certification, and recent specialized experience:
Bachelor’s degree plus 3 years of recent specialized experience; or
Associate’s degree plus 7 years of recent specialized experience; or
Major certification plus 7 years of recent specialized experience; or
11 years of recent specialized experience.
Experience with data visualization and data storytelling using tools such as Palantir MSS Workshop and Slate applications.
Proficiency with Python, SQL, and distributed data frameworks, including technologies such as Spark, Databricks, and PySpark.
Experience developing machine learning models from training through deployment using industry-standard tools and libraries such as scikit-learn, TensorFlow, and XGBoost.
Strong technical communication skills with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications

4+ years of experience in applied data science, Palantir Foundry development, or data-pipeline development.
Familiarity with MLOps, API development, and secure cloud-based environments, including AWS, Azure, or Palantir Foundry.
Strong understanding of data validation, model testing, and performance-evaluation techniques.

Benefits:

Expression offers competitive salaries and benefits, such as:

401k matching
PPO and HDHP medical/dental/vision insurance
Education reimbursement up to $10,000/yr
Complimentary life insurance
Generous PTO and 11 days of holiday leave
Onsite gym facility
Commuter Benefits Plan
In-office Cold Brew Coffee

About Expression:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s culture focuses on creating immediate and sustainable value for our clients via agile delivery of tailored solutions built through constant engagement with our clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest-growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

We make sure to provide everyone with the tools and opportunities to grow while working on some of the newest technologies in the industry. We get excited about celebrating our professionals' milestones, accomplishments, promotions, overcoming challenges, and many other aspects that make an engaging collaborative environment.

Equal Opportunity Employer/Veterans/Disabled Expression is an Equal Opportunity Employer. If you require a reasonable accommodation during the application or interview process, please submit your request to our Human Resources department through the application portal.

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More about this job

Skills

Data engineering
Unstructured data
CI/CD
ML
Documentation
Databricks
Docker
IBM Terraform
Decision making
Python
Apache Spark
Mlflow
Data analysis
Communication skills
Data visualization
SQL
PySpark
Machine learning
Scikit-learn
TensorFlow
XGBoost
API development
AWS
Microsoft Azure

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