Jobs in the United States

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Added 3 mins ago
NI
Facilities Construction Project Manager - Interdisciplinary
National Institute of Standards and Technology
Gaithersburg, MD
- $85,447 to $187,093 USD / year
General Engineer (0801) ZP III/IV - Basic Requirements
Added 8 mins ago
Staff Software Development Engineer – iOS
CVS Health
Remote, United States
…a highly skilled and innovative Staff Software Development Engineer – iOS to join our growing digital engineering organization. This Staff Engineering role offers the opportunity to drive…
Added 8 mins ago
Automation Engineer – Robotics & PLC
HTC Global Services Inc
Redford, MI
Automation Engineer – Robotics & PLC Overview / Summary
Added 8 mins ago
Mobile Engineer
CBRE
Fenton, MI
As a CBRE Mobile Engineer, you will be responsible for preventive maintenance and corrective repairs for buildings, industrial systems, vehicles, equipment, and grounds.
Added 8 mins ago
FA
General Engineer (Technical Project Lead Coordinator)
Food and Drug Administration
Silver Spring, MD
- $107,446 to $139,684 USD / year
Serves as a General Engineer and Technical Project Lead (TPL) for a multidisciplinary review team responsible for the assessment of pre-market applications of proposed new tobacco products.…
Added 8 mins ago
TU
Connected Services Systems Engineer |Automotive| Hybrid
Teleperformance USA
WARREN, MI
- $45 to $55 USD / hour
The Connected Services Systems Engineer role is a technical position responsible for ensuring that automotive vehicle systems supporting connected in-vehicle services and applications are…
Added 8 mins ago
Java Full Stack Software Engineer – Angular & AI
HTC Global Services Inc
Dearborn, MI
Java Full Stack Software Engineer – Angular & AI Overview / Summary
Added 9 mins ago
Windows Server Engineer Intermediate
University of Michigan
Ann Arbor, MI
Information and Technology Services (ITS) is looking for an experienced, motivated Windows Server Engineer to join our Systems Operations group.
Added 9 mins ago
C
Union Engineer
CBRE
Grand Rapids, MI
- $53.45 USD / hour
As a CBRE Union Engineer, you will support the maintenance, troubleshooting, repair, and operation of critical building systems at a commercial facility in Grand Rapids, Michigan. This…
Added 9 mins ago
GA
Senior AI/ML Engineer - Generative AI for Software Development
GE Aerospace
Grand Rapids, MI
- $130,000 to $173,000 USD / year
GE Aerospace Defense & Systems is seeking a Senior AI/ML Engineer to join our Emerging Technologies team in Grand Rapids, Michigan. In this role, you will help shape how large language…
Added 9 mins ago
Lead Solution Architect with AI Experience
Deloitte
Detroit, MI
AWS certification such as AWS Certified Solutions Architect, AWS Certified AI Practitioner, or AWS Certified Machine Learning Engineer
Added 9 mins ago
Senior Engineer, Google Cloud
PwC
Grand Rapids, MI · Detroit, MI
As a Senior Engineer, Google Cloud you will focus on building, testing, and optimizing cloud-native applications on Google Cloud, supporting work that spans the full software development…
Added 9 mins ago
Senior Enterprise Engineer - Salesforce Platform (EAA - STP)
Coinbase
Lansing, MI
…account management, and billing workflows. As a Senior Enterprise Engineer on this team, you'll design and deliver scalable, secure CRM and billing solutions while integrating Salesforce…
Added 9 mins ago
Senior Software Engineer, Stablecoins
Coinbase
Lansing, MI
As a Senior Software Engineer on the Stablecoin team within the Developer group, you'll help build and scale Coinbase Custom Stablecoins (CCS), the platform that lets partners launch their…
Added 9 mins ago
Software Engineer, Systems ML
Meta
Lansing, MI
Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive…
Added 9 mins ago
Software Engineer, CDP - Stablecoin
Coinbase
Lansing, MI
…growth, and ecosystem expansion at Coinbase. As a Software Engineer, you'll help deliver a suite of international stablecoins by evaluating and integrating external partner APIs, building…
Added 9 mins ago
AT
Site Reliability Engineer II
Akamai Technologies, Inc.
Lansing, MI
- $95,000 to $171,000 USD / year
As a Site Reliability Engineer II, you will be responsible for:
Added 9 mins ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Lansing, MI
- $146,400 to $263,600 USD / year
As a Senior II Site Reliability Engineer, you will be responsible for:
Added 9 mins ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Lansing, MI
- $146,400 to $263,600 USD / year
As a Senior Site Reliability Engineer, you will be responsible for:
Added 9 mins ago
Senior Cybersecurity Architect (Cloud)
Amentum
Lansing, MI
Engineer and administer cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage,…
Added 9 mins ago
Solutions Architect - Nutanix Database Service
Nutanix
Lansing, MI
Experience: 5+ years of experience in a customer-facing pre-sales technical role (Solutions Architect, Systems Engineer, or Database Specialist Architect) within an enterprise software,…
Added 9 mins ago
Cybersecurity Engineer (Cloud)
Amentum
Lansing, MI
Added 10 mins ago
Senior Software Engineer, YouTube Ads Marketplace Optimization
YouTube
Mountain View, CA
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 10 mins ago
Research Engineer, Responsibility, DeepMind
DeepMind
Mountain View, CA
Added 10 mins ago
Staff Product Security Engineer, Cloud CISO
Google
Kirkland, WA · New York, NY · Seattle, WA · San Francisco, CA · Sunnyvale, CA

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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