Jobs in the United States

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Added 3 mins ago
Senior Research Engineer
University of Georgia Staff
GA
The SER-CAT beamline engineer position is a critical component of the highly skilled staffing matrix of the SER-CAT operations team that is required to maintain and improve SER-CAT as a…
Added 6 mins ago
Software Engineer I - Top Secret
Parsons Technical Services, Inc.
Remote, United States
Contribute to test procedures and technical documentation for CNO software deliverables
Added 8 mins ago
Lead - 1st Shift
GXO Logistics
Pryor, OK
We engineer faster, smarter, leaner supply chains.
Added 8 mins ago
Lead - 1st Shift
GXO Logistics
Pryor, OK
We engineer faster, smarter, leaner supply chains.
Added 8 mins ago
Data Center Lead - 1st Shift
GXO Logistics
Pryor, OK
We engineer faster, smarter, leaner supply chains.
Added 12 mins ago
Artificial Intelligence and Machine Learning Engineer
RIVA Solutions, Inc.
United States
Use AI coding tools such as Claude Code every day to build, test, and review code.
Added 13 mins ago
IG
SDET
Insight Global
Remote, United States
- From $65 USD / hour
…Azure Web Apps. This is an individual contributor role. The engineer will execute test plans, build and maintain automated tests, investigate defects, and partner with developers and…
Added 14 mins ago
Industrial Hygienist / Chemical Engineer (Interdisciplinary)
U.S. Pacific Fleet, Commander in Chief
Bremerton, WA
Added 14 mins ago
Process Engineer, NA SSD Network, Sub Same Day Process Engineering
Amazon
Bellevue, WA
Sub Same Day (SSD) Engineering is looking for a Senior Process Engineer with a strong delivery record and proven project management experience to own strategic and tactical,…
Added 14 mins ago
Hardware Development Engineer I, Relay Fleet & Yard Devices
Amazon
Bellevue, WA
…hardware lifecycle (schematic and PCB design, prototype bring-up, test, and qualification), you will build edge-compute gateways, tamper-resistant GPS, smart locks that act as a virtual…
Added 14 mins ago
Manufacturing Automation Engineer, Solar - (Starlink)
SpaceX
Redmond, WA
…internet to millions of users worldwide. We design, build, test, and operate all parts of the system – thousands of satellites, consumer receivers and the software that brings it all…
Added 14 mins ago
Mechanical Engineer, Electro-Mechanical (Starlink)
SpaceX
Redmond, WA
…internet to millions of users worldwide. We design, build, test, and operate all parts of the system – thousands of satellites, consumer receivers that allow users to connect within minutes…
Added 14 mins ago
Automation & Controls Engineer, Solar (Starlink)
SpaceX
Redmond, WA
…internet to millions of users worldwide. We design, build, test, and operate all parts of the system – thousands of satellites, consumer receivers and the software that brings it all…
Added 14 mins ago
Sr Security Engineer, Leo Security
Amazon
Seattle, WA
We are looking for a senior security engineer to join the founding cohort of the Engineering and R&D team within Leo Infrastructure and IP Security. The team defends the manufacturing…
Added 15 mins ago
Blood Banking - Technical Account Specialist - Seattle, Washington
Grifols Shared Services North America, Inc
Seattle, WA
Collaborates with Field Service Engineer to support software upgrades, installations and regulated documents associated with the customer site.
Added 15 mins ago
PW
Vehicle Calibration Engineer - Software Integration (Driver Assistance Systems)
Paccar Winch Inc.
Mount Vernon, WA
- $70,500 to $105,800 USD / year
Vehicle Calibration Engineer - Software Integration (Driver Assistance Systems) Apply now »
Added 15 mins ago
PW
Software Engineer - Embedded Systems
Paccar Winch Inc.
Bellevue, WA
- $90,400 to $141,800 USD / year
The Application Software Engineer - Embedded Systems is responsible for leading DevOps initiatives that enable efficient, scalable, and high-quality embedded software development. This…
Added 18 mins ago
Controls Engineer
Actalent
Washington, DC
Controls Engineer | Onsite in Washington, DC | Pay: 60k - 100k/yr | 12-month contract-to-hireJob DescriptionThe Controls Engineer designs, programs, tests, and commissions control systems…
Added 18 mins ago
A
Product Manufacturing Engineer
Actalent
Asheville, NC
- $52.88 to $57.69 USD / hour
Job Title: Product Manufacturing EngineerJob DescriptionAs a Product Manufacturing Engineer, you will play a pivotal role in developing First Article Inspections (FAI) and coordinating…
Added 18 mins ago
A
Quality Manager
Actalent
Sterling Heights, MI
- $45 to $55 USD / hour
Added 23 mins ago
UG
Senior Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
The Enterprise Finance Data Engineering team is seeking a Senior Data Engineer to design, build, and manage the data foundations that power enterprise finance analytics, automation, and…
Added 29 mins ago
Continuous Improvement Engineer
ITW
Roselle, IL
Develop, test, and implement process adjustments and/or new manufacturing techniques to reduce manufacturing costs and waste, and to improve safety, product quality, manufacturing…
Added 29 mins ago
Integration Engineer 4 - Mainframe DB2 DBA
Capital One
Riverwoods, IL
…emerging cloud technologies to join our team. As an Integration Engineer , you’ll have the opportunity to be on the forefront of driving major mainframe modernization and enterprise…
Added 30 mins ago
Full-stack Engineer 4, Enterprise Platform - Marketing Technology
Capital One
Chicago, IL · Riverwoods, IL
Chicago, IL: $179,400 - $204,700 for Full-stack Engineer 4
Added 30 mins ago
CO
CIVIL ENGINEER V, (Neighborhood Improvement) CDOT 2026
City of Chicago
Chicago, IL
- $109,140 USD / year
…improvement infrastructure projects across the entire city. The Civil Engineer V position will ensure contractor construction activities meet the city’s quality standards and are performed…

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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