Jobs in the United States

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Added 3 mins ago
IG
Databricks Data Scientist/Engineer (100% Remote)
Insight Global
Remote, United States
- From $61 USD / hour
Databricks certifications (Architect, Data Engineer)
Added 4 mins ago
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Process Engineer
Actalent
Asheville, NC
- $57.69 to $62.5 USD / hour
Job Title: CNC Manufacturing EngineerJob DescriptionWe are seeking a dedicated Process Engineer to own technical aspects of the assigned manufacturing area and coordinate technical…
Added 4 mins ago
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Controls Engineer
Actalent
Saline, MI
- $39.42 to $50 USD / hour
Experience in industrial, pharmaceutical, manufacturing, GMP, or data center environments
Added 7 mins ago
Sr Manager Product Context Engineering
BDO USA Experienced
St Louis, MO · Tampa, FL · Indianapolis, IN · Stamford, CT · Detroit, MI · Chicago, IL · Oak Brook, IL · San Francisco, CA · San Antonio, TX
Microsoft Certified: Azure AI Engineer Associate, preferred
Added 7 mins ago
Context Engineering Experienced Manager, Digital Transformation & Innovation
BDO USA Experienced
Woodbridge, NJ · Grand Rapids, MI
…coordination with the AI Engineering Experienced Manager and the Data & Analytics Lead to ensure assurance domain knowledge is captured as high-quality, governed, agent-consumable context.…
Added 7 mins ago
AI Engineering Experienced Manager, Digital Transformation & Innovation
BDO USA Experienced
Grand Rapids, MI · Woodbridge, NJ
…coordination with the Context Engineering Experienced Manager and Data & Analytics Lead to deliver well-integrated, properly provisioned AI solutions. The AI Engineering Experienced Manager…
Added 12 mins ago
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Senior Machine Learning Engineer - AI Cloud
Rippling
Seattle, WA · San Francisco, CA · New York, NY
- $172,800 to $288,000 USD / year
As a Senior Machine Learning Engineer, you will own the end-to-end ML lifecycle for projects within the AI Cloud team: problem formulation, data preparation, model development, evaluation,…
Added 16 mins ago
Lead AI Engineer
Perficient
DALLAS, TX
We are looking for a Lead AI Engineer to design, develop, and deploy scalable Generative AI and conversational AI solutions for enterprise environments. This role leads the implementation…
Added 19 mins ago
Full Stack Engineer
Pogo Technologies, Inc.
Remote, United States
- Work cross-functionally. Partner with product, design, ops, GTM, data, and CS
Added 24 mins ago
Senior Performance Analysis Engineer
Parsons Government Services Inc.
AL
Parsons is looking for an experienced, team-oriented Senior Performance Analysis Engineer to join our Huntsville, AL team. In this role you will support the analysis and assessment of…
Added 26 mins ago
TPU Compute RTL Design Engineer
Google
Sunnyvale, CA · Austin, TX
…TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much…
Added 26 mins ago
Staff Software Engineer, Infra, Ads Quality Infrastructure, Dynamo, Google Ads
Google
Mountain View, CA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 27 mins ago
Information Security Engineer (DevSecOps)
Equinix LLC
United States
The Application Security Engineer will be responsible for strengthening and continuously improving the security posture of the organization’s applications. This role involves integrating…
Added 30 mins ago
Artificial Intelligence and Machine Learning Engineer
RIVA Solutions, Inc.
United States
legal filings into reliable, structured data. A current example: a pipeline that reads PTAB petitions, institution decisions, and final written decisions, then extracts trial-level and…
Added 32 mins ago
IG
SDET
Insight Global
Remote, United States
- From $65 USD / hour
Experience building and maintaining maintainable test suites, including page object patterns, test data management, and reliable waits and assertions
Added 32 mins ago
Security Engineer II, Ads Security
Amazon
BELLEVUE, WA
…products are inherently secure. We are seeking a talented Security Engineer to join our team, where you will have the opportunity to contribute to securing web applications and services…
Added 32 mins ago
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Principal Software Engineer, Foundry Agents - CoreAI
Microsoft Corporation
Redmond, WA
- $142,800 to $331,200 USD / year
As a senior engineer within Foundry Agents, you will help build and evolve large‑scale, cloud‑native systems that span the full lifecycle of advanced agentic applications - from secure…
Added 32 mins ago
Sr. Software Development Engineer, Amazon Quick
Amazon
Seattle, WA
We are looking for a Senior Software Development Engineer to serve as a technical leader on this team. You will define the long-term architecture of our data layer, drive cross-team…
Added 33 mins ago
Sr. Design Technologist, Websites, Amazon Ads Marketing
Amazon
Seattle, WA
Apply a product design lens to AEM components. Treat each component as a product: define the user problem it solves, set success metrics, prototype variants, and iterate based on real data.
Added 33 mins ago
Software Development Engineer III, AAIS Mosaic Data Platform
Amazon
Seattle, WA
We are seeking an experienced SDE III to serve as the technical leader for the MOSAIC Data Platform - a suite of six production services that power scalable compliant data ingestion storage…
Added 33 mins ago
Senior Software Development Engineer AWS Connect, Cascades, Amazon Connect
Amazon
Seattle, WA
…technology involving modern web, SOA, NoSQL databases, AI, ML, Big Data, and…
Added 33 mins ago
Business Intelligence Engineer, Consumables Insights and Analytics
Amazon
Seattle, WA
The Business Intelligence Engineer (BIE) is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong…
Added 33 mins ago
Senior Security Engineer, Remote in the U.S.
Cisco
Seattle, WA
Experience building agentic workflows that integrate models, tools, and engineering data, with evaluations, human review, protected inputs, and improvements as model capabilities change.
Added 36 mins ago
Controls Engineer
Actalent
Washington, DC
Controls Engineer | Onsite in Washington, DC | Pay: 60k - 100k/yr | 12-month contract-to-hireJob DescriptionThe Controls Engineer designs, programs, tests, and commissions control systems…
Added 36 mins ago
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Systems Engineer
Actalent
Springfield, VA
- $114,000 to $183,000 USD / year
Sr. Controls/Automation Engineer | 5-days onsite in Alexandria, VA | Pay: 125k - 183k/yr | Permanent PositionJob DescriptionThe Systems Engineer designs, programs, and supports industrial…

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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