Data engineer jobs in the United States (4,733 jobs)

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

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 4,733
Employers: 2,080

Advertised starting pay

Average starting payUSD / year: $125,332Across 819 listings
Average starting payUSD / hour: $62.18Across 517 listings

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

Where work happens

Remote: 12%569 listings
Hybrid: 6%300 listings
On-site: 8%378 listings

Not specified: 74% (3,486 listings)

Employers hiring include Eliassen Group (343), 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

Save this search

Added 21 days ago
Sr. Network Data Engineer
Global Channel Management, Inc
New York, NY
Remote Sr. Network Data Engineer needs 5+ years experience
Added 21 days ago
Remote Lead Data Engineer
Global Channel Management, Inc
Dallas, TX
Remote Lead Data Engineer needs 7+ years experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance…
Added 21 days ago
Data Engineer with Python and React - Remote
Glint Tech Solutions LLC
Jersey City, NJ
We are seeking a Data Engineer with strong experience in Python and React to build and maintain scalable data-driven applications and platforms in the healthcare domain.
Added 21 days ago
Lead Data Engineer / Data Architect
Glint Tech Solutions LLC
Charlotte · Charlotte, NC
…serving millions of weekly omnichannel customers. The Lead Data Architect will own enterprise…
Added 21 days ago
FC
Data Engineer Snowflake and Databricks -Chicago, IL -Hybrid
FinTrust Connect
Chicago, IL
- $85 to $165 USD / hour
As a Data Engineer you will design and optimize pipelines and models on Databricks and Snowflake for regulated workloads, with strong
Added 21 days ago
FC
Data Engineer Snowflake and Databricks -Austin, TX -Hybrid or Remote in the U.S.
FinTrust Connect
Austin, TX
- $85 to $150 USD / hour
As a Data Engineer you will ship production grade pipelines on Databricks and
Added 21 days ago
FC
Data Engineer Snowflake and Databricks -New York, NY -Hybrid
FinTrust Connect
New York, NY
- $100 to $170 USD / hour
As a Data Engineer you will build reliable pipelines and modular models on Snowflake and Databricks, o
Added 21 days ago
Software Data Engineer, Sensing & Connectivity
Apple
Cupertino, CA
Engineer to build the tools, services, and data pipelines that support model evaluation at scale,
Added 21 days ago
SA
Senior Financial Data Engineer
Silverthorne Advisory Group LLC
Crystal City, VA
- $130,000 to $138,000 USD / year
Silverthorne Advisory Group is seeking an Senior Financial Data Engineer to support Department of War (DoW) financial management initiatives. The Financial Data Enginee
Added 21 days ago
Senior Data Engineer
IQUASAR LLC
Washington, DC
Makpar has an exciting opportunity for a Senior Data Engineer to join our growing team.his role requires expertise in Databricks, SQL, and ETL pipelines, with strong experience building…
Added 21 days ago
Data Engineer
IQUASAR LLC
St. Louis, MO
iQuasar is seeking to fill a Data Engineer in St. Louis, MO.
Added 21 days ago
HB
Data Engineer – Azure Databricks
HIGH BRIDGE CONSULTING LLC
New York, NY
- $70 to $90 USD / hour
Data Engineer – Azure Databricks (Corporate Data Platform)
Added 21 days ago
Sr GCP Data Engineer
Eitacies Inc
Austin, TX
We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ.
Added 21 days ago
IN
Lead Data Engineer
ISO New England Inc.
Holyoke, MA
- $110,000 to $170,000 USD / year
We have an important role to play in securing the region’s clean and reliable energy future and are looking for a Data Engineer to join our team. In this role, you will design, develop, and…
Added 21 days ago
Data Engineer
Maas Energy Works, Inc.
Redding, CA
Added 21 days ago
M
Data Engineer
modis
Plano, TX
- $44 to $45 USD / hour
Akkodis is seeking a Data Engineer for a Contract with a client in Plano, TX. The ideal candidate will design and maintain scalable data models that support AI/BI analytics, ensuring data…
Added 21 days ago
C
Sr Clinical Data Engineer (ITS Architect III)
CalOptima
Orange, CA
- From $120,881 USD / year
Added 21 days ago
DELTA DENTAL: Data Engineer
Elevated Resources Inc
San Francisco, CA
The Senior Data Engineer will design, build, and implement data integration solutions, including data pipelines, data API's, and ETL jobs, to meet the data needs of applications, services,…
Added 21 days ago
DELTA DENTAL: Data Engineer
Elevated Resources Inc
San Francisco, CA
The Data Engineer will collaborate with data architects, application development teams, data analytics teams, and the Data Governance COE to build and test interfaces between applications,…
Added 21 days ago
Marketing Sr. Data Engineer - Loyalty & Customer Analytics
EL Pollo Loco
Costa Mesa, CA
Added 21 days ago
MI
Senior Data Engineer
MGT Insurance
Denver, CO
- $150,000 to $200,000 USD / year
Added 21 days ago
Lead Analyst Data Engineer
Boardwalk Pipelines
Houston, TX
Added 21 days ago
Lead Analyst Data Engineer
Boardwalk Pipelines
Houston, TX
Added 21 days ago
Manufacturing Data Engineer - Medical Devices
Flextronics International USA, Inc.
IL
Added 21 days ago
Data Engineer
RIVIDIUM
Quantico, VA
RiVidium Inc. is seeking a Senior Data Engineer to support data-driven decision-making by collecting, transforming, and delivering high-quality data. This role is responsible for designing,…

Auger

Sr. Data Engineer

United States

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Job details

Posting language: English
Posted: Nov 13, 2025

Original job description

Build at Auger Auger is the autonomous operating system for supply chains - the layer that finally allows disparate systems like ERP, WMS, and TMS to work together instead of against each other. Most supply chain software surfaces problems and waits for a human to act. Auger solves them. Our AI detects disruptions, evaluates trade-offs, and executes decisions automatically - moving from signal to action in seconds, not weeks. We eliminate the Coordination Tax: the billions in capital and time lost when disconnected systems force the best people in the business to become the Human API between planning and execution. At Auger, we design autonomy into our systems. We expect the same from our people.

That means:

Clear ownership, not decision by consensus First principles over inherited patterns Shipping systems, not slide decks Fast feedback from reality, not opinions If you want to build, ship, and iterate against reality, Auger is for you. Auger was founded by Dave Clark and is backed by $150M from Oak HC/FT and Eclipse Capital. Our team works from Bellevue, WA and Dallas, TX. About the Role Build the data foundation that powers Auger’s Supply Chain OS, AI systems, and execution workflows. Auger is building an operating system for supply chain teams. Our customers rely on Auger to understand reality and change it: reporting, AI-powered decision support, and write-back execution systems that operate at scale. At the core of this system is Data Engineering. This role sets direction for and owns the evolution of the transformation of messy, customer-shared data into a unified, production-grade ontology that directly powers analytics, AI workflows, and execution systems. This is not a “move data from A to B” role. This is system-level semantic ownership at the heart of the product. What You’ll Do As a Senior Data Engineer, you will leverage new and existing customer data sources ingested into Auger’s core data lake and transform them into our ontology. We’re seeking teammates who love data of all kinds, are masters of building efficient, scalable, operable and durable data systems, and are ready to take hands-on ownership beyond individual pipelines in the following areas: Own and evolve the data lifecycle across systems, from ingestion through production-ready ontology Ingest data from databases, data streams, batch files, and incremental feeds Define standards for and operate medallion-style lakehouse pipelines (bronze → silver → gold) Transform raw inputs into a consistent digital twin of supply chain reality that scales across customers Serve high-quality data to analytics, AI workflows, and write-back systems with clear correctness guarantees Own data correctness and reliability in production, including monitoring, on-call, incident response, and post-incident systemic improvements Define and enforce data quality checks, validations, and robust backfill strategies Use AI-assisted tools responsibly, setting expectations for review, validation, and production readiness of generated code Reduce complexity at scale by simplifying pipelines, eliminating redundancy, and automating recurring workflows Partner with product, science, and platform tooling teams to translate ambiguous needs into durable technical designs What You Bring Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience 5+ years demonstrated development experience using technologies like Python, SQL, Scala, Spark, Flink, and Beam 5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies Proven experience owning and evolving large-scale production data systems in distributed environments Hands-on experience designing and operating lakehouse or warehouse architectures at scale Strong schema design skills and deep intuition for data modeling in complex domains A production mindset - you’ve owned critical systems, led incident resolution, and driven long-term fixes Experience supporting AI/ML or AI-powered products where data quality directly impacts outcomes Familiarity with streaming or incremental processing at scale Experience defining data quality, observability, anomaly detection, or reliability standards A deep curiosity and eagerness to problem solve in ambiguous, high-impact problem spaces without a playbook Ability to lead through ambiguity with urgency, patience, and good judgment while raising the bar for others Strong communication and collaboration skills A plus if you have prior experience in the supply chain domain Auger considers all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Additionally, our privacy policy is available at https://auger.com/privacy-notice/ .

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More about this job

Skills

Supply chain management
Reporting
Data engineering
Incident response
Statistical quality control
Computer science
Statistics
Python
SQL
Scala
Apache Spark
Data management
Data modelling
ML
Communication skills
Collaboration

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