Jobs in the United States

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Added 18 mins ago
AWS Cloud Engineer IV
IGH ICW GROUP HOLDINGS, INC.
San Diego, CA
The purpose of the AWS Cloud Engineer IV is to design, implement, and maintain cloud infrastructure systems using Amazon Web Services (AWS). This position will play a crucial role in…
Added 29 mins ago
Sr Project Manager - AI Data Centers
Jacobs
North Miami Beach, FL · Orlando, FL
…scale and with a client roster that defines the future of AI infrastructure. You will manage engineering-side project execution from basis of design through IFC, construction…
Added 36 mins ago
Power Generation Project Engineer (Electrical)
Pacific Gas And Electric Company
Auberry, CA
This is a journey-level Project Engineer job that requires mastery of the Associate level Project Engineer skills and duties and provides complete engineering & design, project management,…
Added 43 mins ago
Ground Software DevOps Release Engineer III (TS/SCI Required) - Blue Ring
Blue Origin Personnel, LLC
Denver, CO · Reston, VA
…space missions and advancing ground capabilities. The DevSecOps Engineer will bridge the gap between development, security, and operations. In this role, you will own the end-to-end…
Added 44 mins ago
DO
SUPERVISING ENGINEER WATER RESOURCES
Department of Water Resources
CA
- $12,562 to $15,724 USD / month
…represent DWR in public forums? We are looking for a Supervising Engineer (Specialist) to play a key leadership role in conducting and guiding planning activities within a…
Added 49 mins ago
Senior Solutions Engineer
DomainTools
Remote, United States
For more than 25 years, the world's most advanced security teams have relied on DomainTools to identify malicious infrastructure before attacks happen. This is not a company coasting on…
Added 49 mins ago
Senior Product Marketing Manager
DomainTools
Remote, United States
Every attack runs on internet infrastructure, and DomainTools maps that infrastructure better than anyone.
Added 49 mins ago
Senior Product Marketing Manager
DomainTools
Remote, United States
Every attack runs on internet infrastructure, and DomainTools maps that infrastructure better than anyone.
Added 49 mins ago
Senior Product Marketing Manager
DomainTools
Remote, United States
Every attack runs on internet infrastructure, and DomainTools maps that infrastructure better than anyone.
Added 49 mins ago
Senior Product Marketing Manager
DomainTools
Remote, United States
Every attack runs on internet infrastructure, and DomainTools maps that infrastructure better than anyone.
Added 49 mins ago
Senior Product Marketing Manager
DomainTools
Remote, United States
Every attack runs on internet infrastructure, and DomainTools maps that infrastructure better than anyone.
Added 51 mins ago
Lead Specialist, Technical Architect
Pearson
Jefferson City, MO
As a Quality Engineer Architect aligned to the E30 expert track, you provide domain-level quality leadership for ExamDeveloper. This role is unique within the ExamDeveloper quality…
Added 1 hour ago
IT Security Engineer II
CMTelematics
Cambridge, MA
CMT is looking for a highly motivated and collaborative IT Security Engineer to join the CMT team. Reporting to the leader of IT Security, you will work in a highly collaborative role,…
Added 1 hour ago
DN
AWS Cloud Data Engineer 3065-18
Delaware Nation Industries
Dahlgren, VA
- $150,000 to $170,000 USD / year
DNI is seeking a highly qualified Data Engineer to support the Joint Warfare Analysis Center (JWAC) under Air Force JWAC IT Services (JITS) Task Order 2. The Data Engineer will design,…
Added 1 hour ago
Senior Linux System Administrator - 306502
Delaware Nation Industries
Dahlgren, VA
…help maintain secure, resilient, and highly available Linux infrastructure across classified and unclassified environments supporting mission-critical…
Added 1 hour ago
DN
(Temporary Full Time) Senior Network Engineer - 303620
Delaware Nation Industries
Oklahoma City, OK
- $140,000 USD / year
- Full-time
We are seeking a skilled and experienced Network Engineer who is well-versed in network security, compliance standards, and the NIST Risk Management Framework (RMF) and DoDI 8510.01. The…
Added 1 hour ago
DN
AWS Cloud Data Engineer 3065-19
Delaware Nation Industries
Dahlgren, VA
- $150,000 to $170,000 USD / year
DNI is seeking a highly qualified Data Engineer to support the Joint Warfare Analysis Center (JWAC) under Air Force JWAC IT Services (JITS) Task Order 2. The Data Engineer will design,…
Added 1 hour ago
Senior MEP Resident Engineer
ZUTARI 2026
Africa, GA
As a leading buildings, infrastructure engineering, and advisory practice with over 90 years of heritage across Africa and the Middle East, we work across the full infrastructure lifecycle…
Added 1 hour ago
T
Site Operations Manager
TEKsystems
St Francisville, LA
- $85 USD / hour
Oversee the preventive and corrective maintenance program for critical infrastructure, coordinating work with vendors and subcontractors to minimize risk and downtime.
Added 1 hour ago
Senior DevOps
KēSTA I.T.
Remote, United States
KēSTA I.T. is seeking a remote DevOps Engineer to own production reliability, from safe releases and monitoring to incident response and the private cloud infrastructure behind them.
Added 2 hours ago
Managed IT Services Sales Executive for Small - Mid-Market
Delaney Computer Services, Inc.
Mahwah
…networking, wireless, access control, security camera, AV, or other infrastructure project. We need someone who can look beyond the one-time project, conduct effective discovery, and…
Added 3 hours ago
System Engineering Manager - Rail and Transit
Parsons Transportation Group
CA
Licensed Professional Engineer / CSEP Certification
Added 3 hours ago
Founder in Residence, Building the grid 10x faster (Engineer)
Deep Science Ventures
Remote, United States
…offers a unique opportunity to work at the forefront of energy infrastructure, building a new company that dramatically reduces the cost of high-voltage transmission construction through…
Added 3 hours ago
Director, Federal Sales: Air Force and Space Force (Government)
AT&T
Columbia, MD
· Demonstrated success leading and growing complex enterprise technology, telecommunications, digital infrastructure, cybersecurity, cloud, software, professional services, or…
Added 3 hours ago
Director, Federal Sales: Navy and Marine Corps (Government)
AT&T
Columbia, MD
· Demonstrated success leading and growing complex enterprise technology, telecommunications, digital infrastructure, cybersecurity, cloud, software, professional services, or…

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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