Data engineer jobs in the United States (4,731 jobs)

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

Counted Nov 7, 2026

Hiring at a glance

View jobs

Open jobs: 4,731
Employers: 2,074

Advertised starting pay

Average starting payUSD / year: $125,769Across 821 listings
Average starting payUSD / hour: $62.26Across 521 listings

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

Where work happens

Remote: 12%564 listings
Hybrid: 6%299 listings
On-site: 8%379 listings

Not specified: 74% (3,489 listings)

Employers hiring include Eliassen Group (349), Booz Allen Hamilton_United States (74), Insight Global (66).

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 26 days ago
FI
Data Engineer Co-op
Found Industries
Cambridge, MA
- $32 USD / hour
Added 26 days ago
Data Engineer I (Databricks, AWS, Python)
Travelers Indemnity Co
Hartford, CT
Added 26 days ago
Data Engineer
KBR Wyle Services, LLC
Chantilly, VA
KBR is seeking a Data Engineer to support one of our government customers in Reston, Virginia. The Data Engineer utilizes a diverse range of data-focused skills, experience, deep technical…
Added 26 days ago
CR
Senior Data Engineer
CoStar Realty Information, Inc.
United States
- $133,000 to $172,000 USD / year
Added 26 days ago
M
Data Engineer
Mesirow
Chicago, IL
- $125,000 to $140,000 USD / year
Added 26 days ago
Data Engineer, Mid
Booz Allen Hamilton_United States
McLean, VA · Chantilly, VA
…intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when…
Added 26 days ago
AWS Streaming Data Engineer
Booz Allen Hamilton_United States
Springfield, VA · McLean, VA · Chantilly, VA · Reston, VA
As an AWS Streaming Data Engineer, you can resolve a problem with a complete end-to-end streaming solution in a fast, agile environment. If you’re looking for the chance to not just develop…
Added 26 days ago
Cloud Data Engineer
Parsons Government Services Inc.
VA
Parsons is looking for a hands-on Cloud Data Engineer to join our team s
Added 26 days ago
Data Engineer II, GenAI
Travelers Indemnity Co
Hartford, CT · Atlanta, GA · St. Paul, MN
Added 26 days ago
Data Engineer II (dbt, AWS)
Travelers Indemnity Co
Hartford, CT
Added 26 days ago
Data Engineer | TS(SCI Eligible)
Connect Talent Solutions
Springfield
Added 26 days ago
Data Engineer
Booz Allen Hamilton_United States
Arlington, VA · Norfolk, VA
…intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when…
Added 26 days ago
Data Engineer
Booz Allen Hamilton_United States
Arlington, VA
…intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when…
Added 26 days ago
Data Engineer, Mid
Booz Allen Hamilton_United States
Alexandria, VA
…intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when…
Added 26 days ago
Data Engineer (m/f/d) - Germany / Remote-first (DE & US)
Transparent Hiring
United States
We’re looking for a Data Engineer (m/f/d) to build and improve in
Added 26 days ago
Senior Data Engineer - Paradox Machines
Infinity
Remote, United States
This is a senior engineering role at a data and AI company - which means you'll be close to the product, close to customers, and building systems that are used from day one.
Added 26 days ago
Data Engineer (Software Developer 2)
Stanford
Stanford, CA
The Tolias Lab in the Department of Ophthalmology in the School of Medicine is seeking a Data Engineer (Software Developer 2) to build and maintain the data platform supporting Enigma’s…
Added 26 days ago
Senior Software and Data Engineer
KBR Wyle Services, LLC
San Antonio, TX
Added 26 days ago
CR
Senior Data Engineer (SQL Server)- Arlington, VA
CoStar Realty Information, Inc.
United States
- $147,000 to $190,000 USD / year
Senior Data Engineer (SQL Server)- Arlington, VA<br>
Added 26 days ago
CR
Data Engineer II - Apartments.com - Irvine, CA
CoStar Realty Information, Inc.
United States
- $103,000 to $153,000 USD / year
Data Engineer II - Apartments.com - Irvine, CA<br>
Added 26 days ago
CH
Clinical Data Engineer II/III
ClearNote Health
San Mateo or San Diego, CA
- $150,000 to $190,000 USD / year
Added 26 days ago
Mid Level Software and Data Engineer
KBR Wyle Services, LLC
San Antonio, TX
Added 26 days ago
Senior/Staff Data Engineer
Charlie Health Engineering, Product & Design
NY
Added 26 days ago
CR
Senior Data Engineer
CoStar Realty Information, Inc.
United States
- $124,000 to $190,000 USD / year
Added 26 days ago
G
Senior Data Engineer, Analytics
Grindr
Chicago, IL · San Francisco, CA · Palo Alto, CA
- $127,577 to $170,102 USD / year
The Data Engineering team turns raw product data into the trusted datasets that power decisions across Grindr, from dashboards and experimentation to machine learning models and features in…

NAC Architecture

Data Engineer

Spokane, WA, United States

$110,000 to $135,000 USD / year

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Job details

Pay: $110,000 to $135,000 USD / year
Working hours: 40 hours per week
Posting language: English
Posted: Oct 9, 2026

Original job description

Description Data Engineer Location: In one of NAC's 4 offices (Columbus, Los Angeles, Seattle, or Spokane) Department: Information Technology Reports To: Data Leader Position Overview NAC is looking for an experienced Data Engineer to join our delivery team, with a specific focus on designing, building, and optimizing data solutions on Microsoft Azure and Microsoft Fabric. This role is critical to helping NAC unlock the full value of our data assets, supporting advanced analytics, reporting, and digital transformation across the firm. The ideal candidate is confident working with a modern data stack, automating data pipelines, and delivering reliable, scalable, high-quality data solutions in enterprise environments. The day-to-day work ranges from ingesting data out of firm business systems into a governed lakehouse to tuning the models and datasets that our reporting depends on, with an emphasis on solutions that keep working without constant attention. This position reports to our Data Leader and will work closely with IT leadership and the data team, as well as resources supporting data architecture and data governance.

Key Responsibilities:

Data Pipeline Development & Integration · Design, build, and maintain scalable data pipelines and data integration workflows using Microsoft Azure services such as Data Factory, Synapse Analytics, Azure Databricks, and related technologies. · Develop and maintain ETL/ELT processes that support business reporting, analytics, and machine learning. · Build ingestion patterns for a range of sources, including business applications, APIs, relational databases, and file-based feeds. · Implement scheduling, orchestration, automation, and error handling so recurring data loads run reliably with minimal manual intervention. Microsoft Fabric & Analytics Platform · Implement and support Microsoft Fabric solutions, including dataflows, lakehouses, data warehouses, and real-time analytics features. · Organize data in OneLake using a layered approach that keeps raw, enriched, and curated data clearly separated and traceable. · Develop and maintain curated datasets and semantic models that support Power BI reporting and self-service analysis. · Monitor capacity, refresh schedules, and job performance, and tune them as adoption and data volumes grow. Data Modeling & Optimization · Optimize data architectures for performance, reliability, and cost efficiency in cloud environments. · Apply dimensional modeling and other established modeling patterns so data is understandable, reusable, and consistent across reporting. · Write and tune advanced SQL, along with Python or PySpark notebooks, for complex transformation work. · Monitor, troubleshoot, and improve data workflows, resolving failures and performance bottlenecks at the source rather than working around them. Data Quality, Security & Governance · Ensure high-quality, secure, and compliant data management practices in line with firm policy, client contractual obligations, and applicable data protection regulations. · Implement data quality rules, validation, and monitoring so issues are caught before they reach reporting or decision-making. · Apply access controls, sensitivity handling, and lineage practices in partnership with the resources supporting data governance. Collaboration, Migration & Documentation · Collaborate with data architects, analysts, and business stakeholders to gather requirements and deliver data solutions aligned with business goals. · Support the migration and modernization of legacy data systems into Azure and Microsoft Fabric environments. · Translate technical options and trade-offs into terms business stakeholders can act on. · Produce and maintain technical documentation for data pipelines, architecture, and engineering best practices. · Follow source control and deployment practices, including Git-based development and structured promotion across environments.

Requirements

Qualifications & Skills:

Required Education and Experience · Bachelor's degree in computer science, Data Engineering, Information Systems, or a related field preferred (or equivalent experience). · At least 3 years of experience as a Data Engineer, ideally in professional services or large enterprise environments. · Demonstrable expertise in building data pipelines and cloud data solutions on Azure. · Experience with Microsoft Fabric is strongly preferred. Technical Skills · Strong hands-on experience with Microsoft Azure data services (e.g. Data Factory, Synapse Analytics, Data Lake, Databricks).· Direct experience delivering solutions using Microsoft Fabric.· Advanced SQL skills and experience with data modeling, transformation, and integration.· Knowledge of Python or other scripting languages is an advantage.· Familiarity with data governance, data quality, and compliance frameworks.· Certification in Microsoft Azure data engineering or Microsoft Fabric is a plus. Communication and Working Style · Excellent communication skills, able to translate technical solutions into business value. · Ability to work independently and collaboratively in a fast-paced, client-facing environment. · Comfortable working across teams and explaining technical concepts to non-technical audiences. Tools & Technology · Microsoft Fabric and the Azure data platform (Data Factory, Synapse Analytics, Data Lake, Databricks).· Power BI and Microsoft 365 (Teams, SharePoint, Excel). · Source control and deployment tooling (e.g., Git, Azure DevOps). Mindset · Proactive, resourceful, and adaptable. · Committed to continuous improvement, automation, and reducing manual effort over time. Additional Qualifications · Collaborative, service-oriented mindset with the ability to work across teams. · Strong analytical, organizational, and problem-solving abilities.· High degree of empathy and customer orientation. · Ability to meet deadlines, manage priorities, and deliver initiatives successfully. Work Environment · Professional open-office environment with collaborative work areas and shared resources. Physical Demands · Hand/wrist/finger dexterity for 8 hours a day, 40 hours per week. · Ability to sit for long periods of time. Position Type / Expected Hours of Work · Full-time, minimum expectation of 40 hours per week.

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More about this job

Skills

Microsoft Azure
Reporting
Leadership
Amazon Data Pipeline
Google Analytics
Databricks
Data engineering
Machine learning
Scheduling
Microsoft Power BI
Data modelling
SQL
Python
PySpark
Troubleshoot
Data management
Data protection
Decision making
Collaboration
Documentation
Git
Computer science
Regulatory compliance
Communication skills
Work independently
Microsoft 365
Microsoft Teams
Microsoft SharePoint
Microsoft Excel
DevOps
Adaptability
Process improvement
Problem solving
Meet deadlines
Tolerate sitting for long periods

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