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TSSCI Network Automation Engineer
Insight Global
Sully, VA
- From $74 USD / hour
…experience consuming network REST APIs, NETCONF/RESTCONF, and data serialization formats (JSON, YAML,…
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Software Engineer - Location & Spatial Awareness, Sensing & Connectivity
Apple
Cupertino, CA
…looking for a highly-motivated and creative Senior Software Engineer with a strong background in Computer Science to help develop new technologies for special projects on the location…
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Senior Software Engineer - Service Observability & Detection
Apple
Cupertino, CA
…secure at massive scale. We are looking for a Senior Software Engineer to join the Service Observability & Detection team within Wallet, Payments, and Commerce (WPC). In this role, you will…
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Gate-level Noise (Signal Integrity) / STA CAD Engineer
Apple
Austin, TX · Sunnyvale, CA
…glitch noise and static timing analysis (STA), under senior engineer…
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Vulnerability Management and Endpoint Security Administrator
Global Enterprise Services, LLC
Fort Belvoir, VA
Correlate vulnerability, endpoint, asset-inventory, compliance, and security-tool data to identify systemic security risks, coverage gaps, unmanaged assets, trends, and enterprise…
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Junior DevOps Engineer - Platform Deployment & Support
Absolute Business Solutions Corp
Herndon, VA
ABSC is seeking a Secret or TS/SCI-cleared Junior DevOps Engineer – Platform Deployment & Support to support the NGA Data Modernization Services (DMS) program.
Added 1 min ago
Global Security Manager
Cognition
San Francisco, CA
We're the makers of Devin, the first AI software engineer.
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Data Engineer
Primoris Services Corporation
Remote, United States
We are seeking a skilled, execution-focused Data Engineer to join our Data & Analytics team. This role is responsible for designing, building, and maintaining scalable, production-grade…
Added 1 min ago
Data Engineer
Southern Company
Birmingham, AL · Atlanta, GA
The Electric Operations Technology Solutions (EOTS) Data Engineer is responsible for building, operationalizing, and maintaining data pipelines to support data, analytics, and AI use cases…
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IAM Engineer
First National Bank Of Pennsylvania
Pittsburgh, PA
Position Title: IAM (Identity and Access Management) Engineer
Added 2 mins ago
Senior ASIC Verification Engineer
Hewlett Packard Enterprise
Sunnyvale, CA
…help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to…
Added 2 mins ago
Cloud Developer III
Hewlett Packard Enterprise
Ft. Collins, CO
Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.
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Solutions Engineer
Knapp Inc
Kennesaw, GA
Analyze data, design logistics workflows, calculate solution costs, and prepare compelling proposal documents.
Added 2 mins ago
Field Engineer In Training
PEG, LLC
Manassas, VA
…for over 300,000 homes. Our mission is to deliver innovative, data-driven solutions that support high-performance buildings, sustainable development, and client success across residential…
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Electrical Engineer, Specialist
L3Harris Technologies
Yorba Linda, CA
L3Harris is seeking a Electrical Engineer with knowledge of job area in Analog, Digital, or RF engineering. Participate in complex projects or processes with general oversight. Communicates…
Added 2 mins ago
Principal Robotics Engineer - R&D
Boston Engineering Corporation
Waltham, MA
Boston Engineering is seeking a Principal Robotics Engineer - R&D to join our team in Waltham, MA!
Added 2 mins ago
EP
Project Engineer - Solar and Storage
Euclid Power
Remote, United States
- $135,000 to $150,000 USD / year
- Own and improve parts of our assessment methodology, including calibrating assumptions with operational fleet data
Added 3 mins ago
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Project Engineer
Actalent
Woburn, MA
- $150,000 to $160,000 USD / year
Job DescriptionWe are seeking a highly skilled Project Engineer with a strong experience in mechanical design and project leadership. This role requires a deep understanding of mechanical…
Added 3 mins ago
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Electrical Engineer
Actalent
Woburn, MA
- $130,000 to $140,000 USD / year
Job Title: Electrical EngineerJob DescriptionWe are seeking a skilled Electrical Engineer to design and integrate advanced control systems for our cutting-edge cooling solutions. In this…
Added 3 mins ago
Mechanical Drafter
Actalent
Kansas City, MO
Job Title: Mechanical Design Engineer / Sales DrafterJob DescriptionThe Mechanical Design Engineer / Sales Drafter provides dedicated drafting and design support to internal sales teams,…
Added 3 mins ago
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Manufacturing Engineer
Actalent
Orangeburg, NY
- $82,000 to $112,000 USD / year
Job Title: Manufacturing EngineerJob DescriptionThe Manufacturing Engineer analyzes, designs, and improves manufacturing processes to increase efficiency, quality, and cost-effectiveness.…
Added 3 mins ago
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Application Engineer
Actalent
Greenville, SC
- $43.7 to $48.7 USD / hour
Provide capacity and utilization data to support provisioning decisions, cost benchmarking, and optimization by engineer persona.
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Quality Engineer
Actalent
Versailles, KY
- $38 to $41 USD / hour
Job Title: Quality Systems Engineer / Quality EngineerJob DescriptionThe Quality Systems Engineer / Quality Engineer maintains and continuously improves the automotive Quality Management…
Added 4 mins ago
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Electrical Engineer
Actalent
Dallas, TX
- $40 to $65 USD / hour
Electrical Engineer Power Distribution Equipment
Added 4 mins ago
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Controls Engineer
Actalent
Kansas City, MO
- $80,000 to $105,000 USD / year
…supporting automated manufacturing systems by leveraging PLC data, robust troubleshooting, and advanced control technologies. The Controls Engineer analyzes and improves machine…

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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