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 2, 2026

Hiring at a glance

View jobs

Open jobs: 4,409
Employers: 1,971

Advertised starting pay

Average starting payUSD / year: $125,955Across 787 listings
Average starting payUSD / hour: $60.88Across 464 listings

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

Where work happens

Remote: 13%567 listings
Hybrid: 6%280 listings
On-site: 8%337 listings

Not specified: 73% (3,225 listings)

Employers hiring include Eliassen Group (299), Booz Allen Hamilton_United States (75), Insight Global (71).

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 10 mins ago
Lead Data Engineer
Insight Global
Jupiter, FL
This is a founding-level opportunity to own and build the organization's data platform strategy. The company is looking for a highly technical Data Engineer who sits on the border of…
Added 10 mins ago
Data Engineer
Accenture Federal Services
Arlington, VA
Added 11 mins ago
RU
Sr Solutions Data Engineer 11105
Randstad USA
Remote, United States
- $65 to $80 USD / hour
The Solution Engineer is responsible for designing, building, integrating, and supporting the enterprise Unstructured Data Platform. This role serves as a technical leader within a…
Added 12 mins ago
PP
Senior Data Engineer
Pivot Point Solutions
Oakland, CA
- $37.87 to $65.05 USD / hour
Added 28 mins ago
Sr. Data Engineer
Purpose Financial
Greenville, SC
Added 56 mins ago
K
Remote Senior Data Engineer
Kforce
Remote, United States
- $140,000 to $170,000 USD / year
Kforce has a client that is seeking a Remote Senior Data Engineer.
Added 59 mins ago
MR
Data Engineer
Munich Re Careers
Princeton, NJ
- $120,700 USD / year
…algorithms. Provide leadership & analytics with a focus on Claims data that resides in reinsurance and insurance systems for reports and analysis. Lead data extraction, interpretation,…
Added 1 hour ago
Senior, data engineer
GlaxoSmithKline LLC
Philadelphia, PA
Enterprise AI (EAI) builds the data foundations that GSK's AI systems depend on. In our operating model, digital workers do the hands-on data engineering. They generate pipelines, test and…
Added 1 hour ago
Senior, data engineer
GlaxoSmithKline LLC
Philadelphia, PA
Enterprise AI (EAI) builds the data foundations that GSK's AI systems depend on. In our operating model, digital workers do the hands-on data engineering. They generate pipelines, test and…
Added 1 hour ago
Senior Data Engineer
Womble
Boston, MA · Albany, NY · New York, NY · Cleveland, OH · Washington, DC · Mc Lean, VA · Wilmington, DE · Baltimore, MD · Charlottesville, VA · Raleigh, NC · Durham, NC · Winston-Salem, NC · Charlotte, NC · Greenville, SC · Columbia, SC · Charleston, SC · Jacksonville, FL · Atlanta, GA · Houston, TX · Denver, CO · Colorado Springs, CO · Reno, NV · Las Vegas, NV · San Francisco, CA · Phoenix, AZ · Tucson, AZ · San Diego, CA · Walnut Creek, CA · Santa Clara, CA · Glendale, CA · Irvine, CA
Womble Bond Dickinson (US) LLP is seeking a remote Senior Data Engineer to their US team. The Senior Data Engineer is the Firm’s hands-on technical owner for its enterprise internal data…
Added 1 hour ago
A
Principal DevOps / Data Engineer
Alder
Newton, MA
- $175,000 to $195,000 USD / year
Added 1 hour ago
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
Capital One
McLean, VA
…real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging…
Added 1 hour ago
Data Engineer III (US)
TD Bank, N.A.
Mount Laurel, NJ
Added 1 hour ago
B
Senior Staff Data Engineer
Biohub
NY · Redwood City, CA
- $270,000 to $300,000 USD / year
Added 1 hour ago
Data Engineer
STULLER INC.
Lafayette, LA
…continue delivering an unparalleled customer experience. The Data Engineering department oversees the standardization, management, and adoption of services that support key technology…
Added 1 hour ago
Senior Data Engineer, Data Analytics
Agility Robotics
Remote, United States
…industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human…
Added 2 hours ago
Senior Data Engineer
Medisolv, Inc.
Remote, United States
We partner with hospitals, health systems, ACOs, and payers to bring clarity to quality data, connecting clinical and claims information into a single, reliable view. More than 1,800…
Added 2 hours ago
Data Engineer (2026-0179)
Acclaim Technical Services
Chantilly, VA
We’re looking for a Data Engineer who is passionate about building modern, scalable solutions
Added 2 hours ago
Data Engineer
BOOZ, ALLEN & HAMILTON, INC.
Fort Belvoir, VA
…critical missions? As a systems security and network security engineer, you can identify the information system security engineering needed to assess vulnerabilities and recommend the best…
Added 2 hours ago
Data Engineer - IT Data Analytics Team
USA 3M Company
MN
Added 2 hours ago
Data Engineer
CO-US DuCharme, McMillen & Associates, Inc.
Fort Wayne, IN · Indianapolis, IN
Added 2 hours ago
RH
Data Engineer
Robert Half
Remote, United States
- $80 to $100 USD / hour
We are looking for an experienced Data Engineer to support enterprise-scale data initiatives for a financial services environment in Cincinnati, Ohio. This Long-term Contract position will…
Added 2 hours ago
Tech & Data Program Summer 2027 – Data Engineer Intern (Hartford)
The Hartford
Hartford, CT
Tech & Data Program Summer 2027 – Data Engineer Intern
Added 2 hours ago
Tier 3 Data Engineer (CVT - 003)
SageCor Solutions
Annapolis Junction, MD
…nationally-recognized expertise in high performance computing, large data analytics and cutting edge information…
Added 2 hours ago
Data Engineer (CVT - 002)
SageCor Solutions
Annapolis Junction, MD
…nationally-recognized expertise in high performance computing, large data analytics and cutting edge information…

GlaxoSmithKline LLC

Senior, data engineer

Philadelphia, PA, United States

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Job details

Posting language: English
Posted: Oct 27, 2026

Original job description

Enterprise AI (EAI) builds the data foundations that GSK's AI systems depend on. In our operating model, digital workers do the hands-on data engineering. They generate pipelines, test and deploy them, monitor them in production and remediate failures. Our engineers direct that work and own the quality of what ships. Humans and digital workers both rely on a governed context layer. It makes data, meaning, permissions and history retrievable at the moment they are needed, and sits above our data platforms and beneath every experience and agent built on them. The Senior Data Engineer leads the design of production data systems for a team and its domains. The role defines the architectural, quality and governance standards the team and its digital workers apply, leads the team's AI-grade data infrastructure, and mentors junior and mid-level engineers. 1. Leads the design of production data systems for a team and its domains, including pipelines that serve multiple downstream consumers and the AI-grade infrastructure beneath them. 2. Defines how the team works with digital workers through the architectural standards, quality checks and review patterns their work must meet within EAI's operating model. 3. Raises the engineering bar for the team by setting the code, documentation and governance standards others use as the baseline, and by mentoring junior and mid-level engineers. Key Responsibilities: Agent-Operated Data Engineering 1. Lead the design of production pipelines that serve multiple downstream consumers, and define the architectural standard the team and its digital workers apply. 2. Define the team's patterns for agent-generated work within EAI's operating model: what digital workers build and remediate on their own in the team's domains, which checks their work must pass, and when it needs human review. 3. Design how digital workers integrate into the team's orchestration, observability and incident workflows, with clear tool design, evaluations, guardrails and human-in-the-loop controls. 4. Lead the response to significant data quality incidents, from detection to permanent resolution, and drive improvements to team-wide pipeline quality. Context & Semantics 1. Set the context standards for the team's domains: how definitions, contracts, classification and lineage are captured in the governed context layer, so humans and digital workers can rely on them. 2. Lead the team's contributions to the context layer, and feed the team's operational experience into how the layer evolves across EAI. Data Quality & Governance 1. Define data quality and governance standards for the team's domains, encode them in the context layer so humans and digital workers apply them by default, and drive adoption of quality frameworks others use. 2. Lead data quality initiatives with measurable outcomes, such as reduced error rates, improved downstream AI performance or improved audit readiness. AI Data Infrastructure & Lifecycle 1. Lead the design of AI-grade data infrastructure, including evaluation datasets, retrieval architectures and real-time data flows, and define the team's standards for it. 2. Lead data lifecycle management for AI systems: versioning, drift monitoring and governance of AI artefacts. Work with ML engineers on evaluation dataset design, and shape quality practices that improve model reliability in production. Platform & Infrastructure 1. Lead cloud data infrastructure design for the team's domains, driving adoption of infrastructure as code and measurable improvements in deployment reliability. 2. Build platform components used by multiple engineers and digital workers, reducing setup time for new data projects. 3. Raise the team's operational bar across testing, CI/CD for data, observability, cost management and on-call practice. Standards & Mentorship 1. Set the documentation an code quality standard for the team, written to be followed by humans and digital workers alike, and drive adoption of practices others use as the baseline. 2. Mentor junior and mid-level engineers through pairing, review and direct feedback, with visible improvement in their capability and confidence. 3. Partner with forward deployed engineers (FDEs), ML engineers and AI product teams on the data requirements of production systems, challenging weak requirements and communicating trade-offs clearly. Why You? Basic Qualification We are seeking professionals with the following required skills and qualifications to help us achieve our goals: 1. Bachelor's degree in Computer Science, Data Engineering or a related field, or equivalent practical experience 2. 8+ years of data engineering experience, including significant time leading the design and operation of complex production data systems. 3. Expertise with modern warehouses or lakehouses, orchestration and transformation frameworks, and batch and streaming architectures, such as Databricks, BigQuery, Airflow, dbt or Spark. 4. Experience leading the design of AI-grade data infrastructure for production AI systems, including evaluation datasets, retrieval architectures and real-time data flows. 5. Experience leading data lifecycle management for AI systems, including versioning, drift monitoring and governance of AI artefacts. 6. A track record of defining data quality and governance standards for a team or domain that others adopted, with measurable outcomes. 7. Experience leading cloud data infrastructure design with infrastructure as code. 8. Experience designing and operating AI agents or substantial LLM-powered tools inside data engineering workflows, including tool design, evaluation, observability and human-in-the-loop controls, and AI-assisted development patterns that a team adopted. Preferred QualificationIf you have the following characteristics, it would be a plus: Technical lead for one or more data platforms or significant domains, from first build through to scale. Built or improved internal developer platforms or tooling for data engineering, such as self-serve pipelines, agent runtimes, or lineage and quality services. Experience with catalogue, metadata, semantic or lineage infrastructure that AI systems consume. Experience in regulated or high-stakes data environments, such as life sciences, finance or healthcare. Leads the design of AI-grade data infrastruc

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Skills

EAI
Data engineering
Statistical quality control
Infrastructure as code
CI/CD
Computer science
Databricks
BigQuery
Apache Airflow
dbt
Apache Spark

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