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 5, 2026

Hiring at a glance

View jobs

Open jobs: 4,601
Employers: 2,048

Advertised starting pay

Average starting payUSD / year: $125,962Across 808 listings
Average starting payUSD / hour: $60.54Across 465 listings

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

Where work happens

Remote: 12%567 listings
Hybrid: 6%289 listings
On-site: 8%371 listings

Not specified: 73% (3,374 listings)

Employers hiring include Eliassen Group (294), 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
Lead Data Engineer
UFS LLC
Remote, United States
The Lead Data Engineer owns the Navanta data backbone - public Call Report data in the early build, and secure ingestion from bank cores into lakehouses as each client’s on-premises…
Added 24 days ago
Data Engineer Intern
Summit Utilities Inc
FORT SMITH, AR · FAYETTEVILLE, AR · LITTLE ROCK, AR
Added 24 days ago
Data Engineer I
Summit Utilities Inc
DENVER, CO
Added 24 days ago
SU
Data Engineer I
Summit Utilities Inc
DENVER, CO
- $89,102 to $105,808 USD / year
Added 24 days ago
Data Engineer
Sakata Seed America, INC.
Woodland, CA · Burlington, WA
The Data Engineer designs, builds, and maintains scalable data solutions that support operational reporting, analytics, and enterprise decision-making. This role is responsible for…
Added 24 days ago
Senior RAPA Data Engineer
NORTHEAST POWER COORDINATING
Remote, United States
As the RAPA Senior Data Engineer, you are responsible for designing, developing, implementing, and maintaining enterprise data solutions that support data-driven decision making across…
Added 24 days ago
Data Engineer
GD Information Technology, Inc.
United States
As a Data Engineer at GDIT, you’ll power innovation to drive mission impa
Added 24 days ago
AT
Senior Data Engineer (Azure/Dynamics 365)
AHU Technologies Inc
Washington, DC
- $60 to $67 USD / hour
Client is look for a resource to provide high-level data engineering administration expertise to support Dynamics 365/Azure data services, including Dataverse management, Azure Data Factory…
Added 24 days ago
NCIS Data Engineer | Active Secret clearance
GD Information Technology, Inc.
United States
Database Integration, Data Management, ETL Pipelines, ETL ProcessingCertifications:
Added 24 days ago
Senior Data Engineer - Secret Clearance Required
GD Information Technology, Inc.
United States
Artificial Intelligence (AI), Data Solutions, Technical SolutionsCertifications:
Added 24 days ago
Data Engineer - TS/SCI w/poly
GD Information Technology, Inc.
United States
Data Architecture Development, Data Management, Data SolutionsCertifications:
Added 24 days ago
PG
Senior Data Engineer
Publicis Groupe Holdings B.V
Chicago, IL
- $88,900 to $165,100 USD / year
We are looking for a Senior Data Engineer to help build the next generation of our cloud data platform. This role is ideal for an engineer who thrives on solving complex data challenges at…
Added 24 days ago
Data Engineer III
Bank of America, National Association
United States
Added 24 days ago
Data Engineer III
Bank of America, National Association
United States
Added 24 days ago
Data Engineer
Frank Calandra Jennmar Services
Pittsburgh, PA
The Data Engineer will design, build, and maintain ETL/ELT pipelines that support Jennmar’s reporting and analytics environment. Works within the BI team to extract, transform, and load…
Added 24 days ago
Senior Developer (Data Engineer)
Floor & Decor
Atlanta, GA
As a Senior Data Engineer, you'll help shape Floor & Decor's modern data platform while driving the company's migration from a legacy enterprise data warehouse to Databric
Added 24 days ago
Data Engineer
Intuitive Machines LLC
Houston, TX
Added 24 days ago
Senior Analytics Data Engineer
Government Employees Insurance Company
Bethesda, MD · Virginia Beach, VA · Getzville, NY · New York City, NY · Tampa, FL · Lakeland, FL · Chicago, IL · Melville, NY
Added 24 days ago
Senior Data Engineer, Python
Dev
Remote, United States
Added 24 days ago
Data Engineer
INFOSYS NOVA HOLDINGS LLC
Charlotte, NC
We are seeking a Data Engineer to join a team focused on modernizing enterprise data platforms and supporting cloud migration initiatives. This is a hands-on role where you'll design and…
Added 24 days ago
Principal Data Engineer
INFOSYS NOVA HOLDINGS LLC
Charlotte, NC · Detroit, MI
We are seeking an experienced Principal Data Engineer to design, develop, and maintain scalable data solutions supporting enterprise data engineering and analytics initiatives. This role…
Added 24 days ago
Data Engineer
INFOSYS NOVA HOLDINGS LLC
Detroit, MI
We are looking for a Senior Data Engineer to design, build, and optimize scalable data pipelines and data platforms supporting analytics, reporting, and AI/ML use cases. The ideal candidate…
Added 24 days ago
DE
Data Engineer
Double E Company, LLC
West Bridgewater, MA
- $110,000 to $140,000 USD / year
Added 24 days ago
Sr Data Engineer
Bank of America, National Association
NY
Added 24 days ago
Senior Data Engineer - AI Infrastructure Integration, High Performance Compute
Bank of America, National Association
NY

Five Guys

Data Engineer

Alexandria, VA, United States

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Applications open in a new tab.

Job details

Education: Bachelor’s degree
Experience: 3+ years of experience in data engineering roles required
Posting language: English
Posted: Aug 20, 2026

Original job description

The Data Engineer builds and maintains the data infrastructure that supports operational and digital analytics across the organization. This position designs, develops, and operates scalable data pipelines and ingestion workflows on a Microsoft Azure-based platform to ensure data is reliable, governed, and available for analytics and reporting. This role partners closely with IT, Finance, Operations, and Digital stakeholders to support the organization’s continued migration to a centralized, cloud-native data architecture.

Work Location and Onsite Requirement: This position is Hybrid and requires a few days in the Alexandria VA office.

Essential Duties and Responsibilities

Design, develop, and maintain end-to-end data pipelines for ingestion, transformation, and delivery of structured and semi-structured data.
Ingest data from diverse sources, including relational databases, REST APIs, flat files, and third-party platforms.
Build and manage Azure Data Factory pipelines to orchestrate, schedule, and monitor data workflows.
Develop Azure Functions and Logic Apps to support event-driven ingestion and lightweight system integrations.
Administer and configure Databricks workspaces, including cluster management, access controls, and workspace governance.
Develop data processing and transformation logic using Python and PySpark in Databricks notebooks and jobs.
Apply data architecture standards and evaluate technical trade-offs related to medallion architecture, data modeling, and governance best practices.
Implement and maintain data governance controls, including access controls, data classification, and lineage tracking.
Manage Azure Storage resources, including Azure Data Lake Storage Gen2, to support proper organization, partitioning, and lifecycle management.
Validate data quality, completeness, and reliability throughout the pipeline and support discrepancy resolution with analysts, developers, and downstream consumers.
Collaborate with analysts and developers to deliver curated, conformed datasets for reporting and analytics.
Troubleshoot pipeline failures, performance bottlenecks, and data discrepancies.
Document architecture decisions, data flows, pipeline logic, and operational runbooks.

Qualifications Guidelines

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Education/Experience

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field required
3+ years of experience in data engineering roles required
Hands-on experience with Microsoft Azure data services required
Experience supporting Finance, Operations, or Digital reporting environments preferred
Experience in multi-unit retail or restaurant environments preferred

Language Ability

Excellent verbal and written communication skills are required. This position requires the ability to translate business requirements into technical solutions, collaborate effectively with IT, Finance, Operations, and Digital stakeholders, and document technical work clearly for both technical and non-technical audiences.

Math Ability

This position requires strong analytical skills, including the ability to interpret data, evaluate metrics, identify trends, and assess risks across data pipelines and reporting environments.

Reasoning Ability

This position requires strong analytical and problem-solving skills, including the ability to assess complex data issues, evaluate technical trade-offs, and make sound decisions related to data architecture, pipeline design, data quality, and system integrations. The candidate must be able to troubleshoot discrepancies, identify root causes, prioritize risks, and develop reliable solutions in collaboration with technical and business stakeholders.

Computer Skills

Proficiency in Microsoft Office Suite is required. Strong proficiency in Python, PySpark, advanced SQL, Microsoft Azure data services, Databricks, Azure Data Factory, Azure Functions, Logic Apps, and Azure Data Lake Storage Gen2 is required. Experience with Databricks workspace administration, cluster configuration, Unity Catalog, access management, SQL sources, REST APIs, CSV/XML formats, data quality frameworks, governance controls, validation strategies, and cloud-based access controls is preferred.

Supervisory Responsibilities

This position has no supervisory responsibilities.

Physical Demands

This position is primarily office-based and requires the ability to remain in a stationary position for prolonged periods while using a computer, telephone, and standard office equipment. The position may occasionally require standing, walking, reaching, grasping, handling objects, and lifting or moving up to 20 pounds. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Special Requirements/Certification

Power BI experience, including data modeling, DAX measures, and report publishing in Power BI Service, is preferred. Databricks and Microsoft Azure certifications, such as Databricks Certified Data Engineer Associate/Professional, Databricks Certified Associate Developer for Apache Spark, Azure Data Engineer Associate (DP-203), or Azure Fundamentals (AZ-900), are preferred but not required.

To address your goal of ensuring only candidates who live near the office apply - given that the position is hybrid and requires in-office days - it's important to make this requirement explicit in the job description. This will help filter out applicants from distant locations and set clear expectations.

Recommended Addition to the Job Description:

Example Implementation:

You can add the above section under the "Special Requirements/Certification" or "Physical Demands" section, or as a separate section titled "Work Location and Onsite Requirement" in your job posting. This makes the expectation clear to all applicants and helps reduce applications from candidates who are not local.

Why This Works:

It sets clear geographic expectations for applicants.
It reinforces the hybrid/in-office requirement, reducing confusion.
It helps your recruiting team focus on qualified, local candidates.

Sample Placement in Job Description:

Work Location and Onsite Requirement: This position is hybrid and requires regular in-office attendance. Only candidates who reside within a reasonable commuting distance to the office will be considered. Applicants from outside the local area or those seeking fully remote work will not be considered for this role.

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions and perform other related duties as assigned by their supervisor, policy, or company management. Work location and onsite attendance requirements will be determined by the company in accordance with company practice and business needs.

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More about this job

Skills

Microsoft Azure
API development
Microsoft Azure Data Factory
Databricks
Process data
Python
PySpark
Architecture regulations
Data modelling
Reporting
Troubleshoot
Computer science
Data engineering
Communication skills
Analytical skills
Manage quantitative data
Problem solving
Collaboration
Computer skills
Microsoft Office
SQL
Unity
Office equipment
Microsoft Power BI
Apache Spark
DP
Recruitment

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