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Senior LIMS Engineer, Prenatal
BillionToOne
Union City, CA
We are looking for a Senior LIMS Engineer to join our Laboratory Information Management System (LIMS) team in support of clinical patient testing in our high-throughput CLIA lab. The Sr.…
Added just now
Software Engineer - Clinical Software
Caris MPI, Inc.
Irving, TX
The Software Engineer, Clinical Software Products contributes engineering work across Caris's clinical application portfolio: product delivery, reliability, and incremental modernization of…
Added just now
Senior IAM & Information Security Engineer
Caris MPI, Inc.
Irving, TX
We are seeking a Senior IAM & Information Security Engineer with deep, hands-on experience to lead the design, implementation, and management of enterprise-level Identity and Access…
Added 4 mins ago
Senior Full Stack Product Engineer
CubX Inc.
Lakewood, NJ
CubX is looking for a Senior Full Stack Product Engineer who can take a business need from concept to production.
Added 5 mins ago
Engineer, Mechanical - Lusby, MD
Military Spouse Jobs & VetJobs
United States
This Engineering role can be filled at the Mid-level or Senior Engineer level. Please see minimum qualifications list below for each level***
Added 6 mins ago
Principal Forward-Deployed Engineer
projects/helpful-passage-853/companies/9810ab3a-d8cd-4ba4-9ee5-ca421241fe3c
United States
Added 6 mins ago
Principal Forward-Deployed Engineer
projects/helpful-passage-853/companies/9810ab3a-d8cd-4ba4-9ee5-ca421241fe3c
United States
Added 7 mins ago
Subject Matter Expert - Pilot-Lackland
Cymstar Services LLC
JBSA San Antonio, TX
…technical principals, theories, and concepts and contributes to the development. The SME may also provide Aircraft Systems/operational procedures instruction in aircraft/ classroom/…
Added 8 mins ago
Senior Platform Engineer, MCP & Connectors
Procore Technologies, Inc.
TX
We are looking for a Senior AI Platform Engineer, MCP & Connectors to design, build, and operate the Model Context Protocol (MCP) connectors linking Claude to Procore’s business systems and…
Added 10 mins ago
O
Senior Systems Software Engineer
Oracle
Nashville, TN
- $102,300 to $209,500 USD / year
Work closely with platform engineering, operations, firmware development, silicon/board vendors, and data center teams to support and troubleshoot hardware bring-up, provisioning, and…
Added 10 mins ago
O
Senior Core Infrastructure Engineer
Oracle
Nashville, TN
- $79,200 to $209,500 USD / year
Implements and contributes to the development for components of distributed systems that support horizontal and vertical scaling including leveraging distributed state management tools.
Added 10 mins ago
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Senior Application Software Engineer
Oracle
United States
- $86,100 to $187,000 USD / year
Senior Developer – Clinical Applications Engineering Transform Healthcare Through Modern EHR Technology
Added 10 mins ago
Controls Project Designer
IMEG Consultants Corp.
Columbus, OH
Are you Ready to Engineer Your Career? At IMEG, one of the largest design consulting firms in the U.S., we strive to provide exciting and rewarding career opportunities to our team members.…
Added 11 mins ago
Senior Electrical Engineer
Novetus Engineering
Houston, TX
Electrical Engineer – Project Development & Design
Added 11 mins ago
Process Safety Senior Engineer
Novetus Engineering
Houston, TX
We are seeking an experienced Process Safety Senior Engineer to join our team in Houston, TX. This role is responsible for providing technical leadership and expertise in process safety…
Added 12 mins ago
AI
Senior Software Engineer – Developer Studio
Applied Intuition
Sunnyvale, CA
- $255,653 to $265,000 USD / year
- Responsible for end-to-end design, development, and maintenance of a large scale cloud hosted, full stack platform used for building and testing vehicle applications.
Added 12 mins ago
Structural Designer EIT - San Francisco, CA
Stantec
San Francisco, CA
…as a team member of larger projects under the guidance of a Senior Structural Engineer. The Structural EIT will be able to perform structural analysis, design and detailing of steel,…
Added 13 mins ago
Senior Data Scientist
Capgemini
Seattle, WA, WA
- Leadership & Stakeholder Management - Proven ability to lead cross-functional teams, influence senior stakeholders, mentor engineers, and drive enterprise AI adoption.
Added 13 mins ago
Principal Systems Engineer
The MITRE Corporation
McLean, VA · Springfield, VA
…integrity at our core, we lead federally funded research and development centers for U.S. government agencies – collaborating with industry and academia to deliver integrated, high-impact…
Added 13 mins ago
Human Factors Engineer (HFE)
The MITRE Corporation
San Antonio, TX
MITRE’s Human-Systems Integration (HSI) and User Experience (UX) department is seeking a Senior Human Factors Engineer (HFE) who is passionate about designing and developing user-centered…
Added 14 mins ago
Staff Site Reliability Engineer
Veeam Software
Remote, United States
…product delivery safe and fast. As a Staff Site Reliability Engineer, you’ll lead by building reliable-by-default platforms, tooling, and patterns that product teams adopt at scale. You…
Added 14 mins ago
Senior Flight Software Engineer
Planet
San Francisco, CA
…solutions that ensure the success of Planet’s missions. As a Senior Flight Software Engineer for Superdove, you will lead ongoing development, verification, and on-orbit anomaly escalation…
Added 21 mins ago
Productivity Platform Engineer
Department of Administrative Services
United States
As the Productivity Platform Engineer, you’ll serve as the engineering owner of the DAS productivity and collaboration platform. This includes the responsibility to:
Added 21 mins ago
Principal/Senior Plant Maintenance Engineer
Portland General Electric Company
Clatskanie, OR
Senior / Principal Plant Maintenance Engineer
Added 23 mins ago
UG
Senior Software Engineer
UnitedHealth Group
Minnetonka, MN
- $91,700 to $163,700 USD / year
…inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a…

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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