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Engineer I - Customer and System Projects
Puget Sound Energy
Olympia, WA · Bellingham, WA · Bremerton, WA · Bellevue, WA · Kent, WA
PSE's Customer & System Projects team is looking for qualified candidates to fill an open Engineer I - Customer and System Projects position!
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 6 mins ago
Software Development Engineer, Amazon Stores FinTech
Amazon.com Services LLC
Seattle, WA
Amazon Stores FinTech Team is seeking a Software Engineer who can design and build scalable systems for Amazon Stores Finance Customers. We are the tech team that builds and supports…
Added 8 mins ago
Software Engineer, Infrastructure Engineering
Reddit
Remote, United States
3+ years of experience building internet-scale software, preferably with a focus on distributed systems infrastructure or infrastructure security.
Added 9 mins ago
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Senior Systems Software Engineer
Oracle
Nashville, TN
- $102,300 to $209,500 USD / year
Integrate and validate system firmware with hardware components. Collaborate on platform bring-up, firmware updates, platform-level diagnostics, and cross-layer debugging.
Added 11 mins ago
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Engineer Technician/Senior Engineer Technician
City of De Pere
De Pere, WI
- $32.86 to $46.94 USD / hour
In addition to the essential functions listed above, the Senior Engineer Technician performs the following essential functions:
Added 16 mins ago
Sr. Staff Software Engineer, Agentic Applications
Databricks
Mountain View, CA
Senior Staff Software Engineer, Agentic Applications
Added 27 mins ago
A
Cyber Systems Engineer 3
Actalent
San Antonio, TX
- $10 USD / hour
Job Title: Cyber Systems Engineer 3Job DescriptionJoin our dynamic engineering team as a Cyber Systems Engineer 3, specializing in Model-Based Systems Engineering (MBSE) for a new solution…
Added 27 mins ago
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Senior Software Engineer - AI Oversight
OpenMined
Remote, United States
- $125,000 to $220,000 USD / year
As a Senior Software Engineer, reporting to the Technical Lead Manager, AI Oversight, you'll build core parts of this system and the products on top of it. You'll also work directly with…
Added 28 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Fort Lauderdale, FL
…large, cross-function teams and projects, and influencing senior level management and key stakeholders. Experience in strategic planning, development, implementation and maintenance of…
Added 28 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Miami, FL
…large, cross-function teams and projects, and influencing senior level management and key stakeholders. Experience in strategic planning, development, implementation and maintenance of…
Added 28 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Jacksonville, FL
…large, cross-function teams and projects, and influencing senior level management and key stakeholders. Experience in strategic planning, development, implementation and maintenance of…
Added 28 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Tampa, FL
…large, cross-function teams and projects, and influencing senior level management and key stakeholders. Experience in strategic planning, development, implementation and maintenance of…
Added 28 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Fort Myers, FL
…large, cross-function teams and projects, and influencing senior level management and key stakeholders. Experience in strategic planning, development, implementation and maintenance of…
Added 28 mins ago
Business Intelligence Systems Management #12
Delan Associates, Inc
Pensacola, FL
…large, cross-function teams and projects, and influencing senior level management and key stakeholders. Experience in strategic planning, development, implementation and maintenance of…
Added 35 mins ago
Operations Engineer (Starshield)
SpaceX
Hawthorne, CA
Work closely with software teams to define and implement alerting systems for team assets.
Added 35 mins ago
Marketing Lead, Claude Frontier Academy
Anthropic
San Francisco, CA · New York City, NY
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly…
Added 37 mins ago
Application Engineer IV (E4)
Applied Materials, Inc
Santa Clara, CA
Serve as the technical expert for optical inspection systems for Semiconductor and Advanced Packaging applications.
Added 38 mins ago
Senior Engineer, Mechanical - Fixed Equipment & Piping Integrity
Calcasieu Pass Operations LLC
United States
The Staff Mechanical Engineer – Fixed Equipment & Piping Integrity is responsible for providing technical engineering support for the integrity, reliability, and regulatory compliance of…
Added 38 mins ago
Engineer, Electrical
Plaquemines LNG Operations LLC
Plaquemines Parish, LA
We are seeking a Engineer, Electrical to join our Plaquemines Facility Team in Louisiana.
Added 39 mins ago
Electrical Design & Verification Engineer (DVE), Leo Optical ISL Development
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
The Design Verification Engineer will be a member of the Avionics team, focusing on the design verification of the various electrical functions of high-performance communication systems.
Added 43 mins ago
Electrical Engineering Technician
nLIGHT
Camas, WA
Use nLIGHT MRP/ERP systems to manage parts, track status and control configuration.
Added 44 mins ago
Propulsion Systems Engineer
The Aerospace Corporation
Los Angeles AFB, CA · Cape Canaveral AFS, FL
The Launch Systems, Operations, and Development team within the Launch Systems Division is seeking a well-qualified individual with demonstrated leadership and exceptional communication…
Added 46 mins ago
Headend Engineer
Hotwire Communications
Orlando, FL
The Headend Engineer is responsible for leading Hotwire's headend construction, operation, maintenance, and support. Primarily focused on performing installation, operating and maintaining…
Added 48 mins ago
Installation Technician III
AVI-SPL
Wixom, MI
Demonstrate job site leadership, mentor Level 1 and Level 2 Technicians on site and verify all quality of work

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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