Jobs in the United States

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Added 11 mins ago
K
Senior Backend Software Engineer
Kforce
Brooklyn, NY
- $49 to $59 USD / hour
Kforce has a client that is seeking a Senior Backend Software Engineer in Brooklyn, NY.
Added 16 mins ago
HR Systems Forward Deployed Engineer
TSMC
Phoenix, AZ
As an HR Systems Forward Deployed Engineer, you will demonstrate a strong sense of reliability and enthusiasm and will possess an attitude that embodies our core values – Integrity,…
Added 35 mins ago
Staff Yield Engineer
Renesas Electronics
San Jose, CA
The engineer will work closely with external foundry partners and cross-functional internal teams to ensure robust manufacturing performance, successful product ramp, effective excursion…
Added 47 mins ago
Senior Data Engineer
Ochsner Clinic Foundation
New Orleans Region, LA
The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprise‑grade solutions and architectures, while ensuring scalability, performance,…
Added 52 mins ago
Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week…
Added 1 hour ago
PI
Senior AIOps Engineer
Porch.com, Inc.
Remote, United States
- $135,000 to $189,000 USD / year
The future is bright for the Porch Group, and we’d love for you to be a part of it as our Senior AIOps Engineer I.
Added 1 hour ago
Systems Administrator
ExecRecruitment
Detroit, MI
Provide reports and metrics for performance analysis and growth planning.
Added 1 hour ago
QA Engineer - Ostro
Veeva
Remote, United States
We are seeking a detail-oriented QA Engineer who seamlessly bridges manual precision with automated efficiency. As a disciplined, self-starting problem solver, you take full ownership of…
Added 1 hour ago
SDE II, EC2 Instance Networking, EC2 Nitro
Amazon Development Center U.S., Inc.
Seattle, WA
…networking primitives that make these workloads possible: high-performance interfaces, low-latency data plane protocols, and scalable network virtualization that operates predictably even…
Added 1 hour ago
Senior Software Development Engineer, EC2 Instance Networking
Amazon Development Center U.S., Inc.
Seattle, WA
…networking primitives that make these workloads possible: high-performance interfaces, low-latency data plane protocols, and scalable network virtualization that operates predictably even…
Added 1 hour ago
Software Development Engineer II, Efficiency & Performance, Alloy, Region Flex Efficiency
Amazon.com Services LLC
Sunnyvale, CA
As a Software Development Engineer in Alloy, you will collaborate with service and infrastructure teams across Amazon to identify and eliminate performance bottlenecks in large-scale…
Added 1 hour ago
Software Development Engineer III, Efficiency & Performance, Alloy, Region Flex Efficiency
Amazon.com Services LLC
Sunnyvale, CA
As a Software Development Engineer in Alloy, you will collaborate with service and infrastructure teams across Amazon to identify and eliminate performance bottlenecks in large-scale…
Added 1 hour ago
ServiceNow Engineer
UnitedHealth Group
Eden Prairie, MN
As a Software Engineer within Optum Technology, you will be part of a high-performing team dedicated to driving enterprise service management modernization and delivering innovative,…
Added 1 hour ago
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 hour 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…
Added 1 hour ago
Machine Learning Engineering Manager
Employment Application
IL
…to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Completes programming and implements efficiencies, performs testing and…
Added 1 hour ago
Software and AI Engineer
CoreWeave
CA / Bellevue, WA · Livingston, NJ · Manhattan, NY · San Francisco, CA · Sunnyvale, CA
…global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017,…
Added 1 hour ago
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Principal Engineer, Digital Workplace Technology Engineering
NBCUniversal
Remote, United States
- $180,000 to $210,000 USD / year
The Principal Engineer for Digital Workplace Technology is a senior technical leader within NBCUniversal’s Workplace Technology Engineering (WTE) organization, responsible for defining and…
Added 1 hour ago
Principal Engineer Software, AIKG - Exploration (Chronosphere)
Palo Alto Networks, Inc.
United States
Improve performance, reliability, and cost efficiency of distributed systems
Added 1 hour ago
Information Systems Security Engineer
Booz Allen Hamilton_United States
Fort Meade, MD
…AI-enabled capabilities? As an Information Systems Security Engineer (ISSE), you will identify the security controls, assessment tools, and authorization strategies needed to ensure…
Added 2 hours ago
Senior iOS App Development Engineer - Services Special Project
Apple
Cupertino, CA
…by Generative AI. We are looking for a senior iOS frameworks engineer to design and build the foundational on-device systems that power features across Apple's services ecosystem - from…
Added 2 hours ago
Senior/Staff Software Engineer
Vectara
Remote, United States
Vectara is seeking a Senior/Staff Platform Software Engineer with strong experience in backend development and modern DevOps practices. In this role, you’ll work on building and scaling the…
Added 2 hours ago
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Senior MLOps Engineer
Kforce
Remote, United States
- $35 to $47 USD / hour
Kforce has a client seeking a remote Senior MLOps Engineer to join their team.
Added 2 hours ago
H
SW Engineer
HP
Fort Collins, CO
- $105,050 to $161,800 USD / year
ACS (Advanced Compute & Solutions) is seeking a Software Engineer for our high growth, future-oriented businesses including Data Science, AI and other emerging areas. This role will work…
Added 2 hours ago
Principal Cloud Data Architect (Microsoft Fabric and Azure)
Children's Health
Dallas, TX
The Principal Cloud Solution Data Architect designs, develops, and implements scalable, secure, and high performance data solutions, integrating source systems, data stores, interfaces, and…

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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