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Added 16 mins ago
Lead Platform Engineer
Valeris, Inc.
Remote, United States
In the role of Lead Platform Engineer, you will own the end-to-end architecture of the patient services platform, ensuring Salesforce Life Sciences Cloud, orchestration and workflow…
Added 19 mins ago
Principal, Product Service Engineer
Alcon Vision, LLC. Company
Lake Forest, CA
…devices are designed and supported worldwide. As Principal Engineer, Product Service Engineering, you will influence product design, lead service readiness, and advance secure remote…
Added 1 hour ago
Senior Software Development Engineer in Test (SDET)
Jobgether
Remote, United States
The Senior Software Development Engineer in Test (SDET) will play a key role in ensuring the quality, reliability, and performance of innovative digital healthcare technology solutions. In…
Added 1 hour 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
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Senior QA/SDET
Jobgether
Remote, United States
- $180,000 to $210,000 USD / year
Lead performance, load, and reliability testing to ensure APIs and processing pipelines meet latency and throughput expectations.
Added 2 hours 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 3 hours ago
Graduate Development Program, Associate Engineer, Software Engineering
natgridProd
Syracuse, NY · Brooklyn, NY · Waltham, MA
Are you ready to build software that helps support National Grid’s Gas business? As an Associate Software Engineer, you’ll join the team responsible for the development and support of the…
Added 5 hours ago
PG
Full Stack Engineer – AI Healthcare
Premier Global Links
Mountain View · Mountain View, CA
- $140,000 to $200,000 USD / year
Premier Global Links LLC is seeking a talented Full Stack Engineer for an innovative healthcare technology company developing AI-powered clinical software and ambient documentation…
Added 5 hours ago
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Principal Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $150,000 to $175,000 USD / year
Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process…
Added 5 hours ago
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Principal Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $150,000 to $175,000 USD / year
As a Principal Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems,…
Added 5 hours ago
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Senior Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted…
Added 5 hours ago
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Senior Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process…
Added 6 hours ago
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Principal Software Engineering - Reliability and FinOps Engineer
AT&T
Middletown, NJ
- $155,400 to $261,100 USD / year
As a Principal System Engineer, you will serve as a senior technical leader across FinOps, cloud optimization, system reliability, and AI-driven automation. You will shape and execute…
Added 6 hours ago
Senior Quality Engineer
Pearson
Trenton, NJ
Also known in the market as: Senior QA Engineer, Senior Test Automation Engineer, Quality Engineering Lead, Senior Quality Engineer, Test Automation Lead.
Added 6 hours ago
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Senior .NET Full Stack Engineer with C#
Cognizant
Trenton, NJ
- $86,000 to $99,000 USD / year
As a Senior .NET Full Stack Engineer with C#, you will make an impact by designing and developing scalable enterprise applications that support healthcare payer operations, including…
Added 6 hours ago
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Senior Full Stack Engineer – .NET & C#
Cognizant
Trenton, NJ
- $86,000 to $99,000 USD / year
As a Senior Full Stack Engineer – .NET & C#, you will make an impact by designing and developing scalable enterprise applications that support healthcare payer operations, including…
Added 6 hours ago
Software Engineer, Infrastructure & Reliability
CrewAI
Remote, United States
You'll build and operate the platform infrastructure behind CrewAI's cloud and enterprise deployments. You'll work across multiple hyperscalers - AWS, Azure, and GCP. You’ll work on…
Added 7 hours ago
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Senior DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $180,000 USD / year
We have an immediate need for a highly skilled Senior-level DevSecOps Engineer to support federal programs hosted on AWS GovCloud. This role requires expertise in DevSecOps best practices,…
Added 7 hours ago
Cloud Platform Engineer
Credence
McLean, VA
Credence is seeking a Cloud Platform Engineer to support secure AWS hosting environments for Department of War customers.
Added 7 hours ago
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AI Platform & DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
Credence has an immediate need for an AI Platform & DevSecOps Engineer to support federal programs hosted within AWS GovCloud. This hands-on engineering role combines DevSecOps, cloud…
Added 7 hours ago
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Senior AI Software Engineer
Credence
Rome, NY
- $155,000 to $200,000 USD / year
Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible…
Added 7 hours ago
Avionics Engineer B-2 (WBZ) 01.6.14 & 01.6.28
Credence
WPAFB, OH
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and…
Added 7 hours ago
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Senior Data Engineer
Credence
McLean, VA
- $115,000 to $155,000 USD / year
Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply…
Added 7 hours ago
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Senior Data Engineer
Credence
Boston, MA
- $115,000 to $155,000 USD / year
Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply…
Added 7 hours ago
C
Senior Data Engineer
Credence
Warner Robins, GA
- $115,000 to $155,000 USD / year
Credence has an immediate need for a Senior AI Data Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice. You’ll apply…

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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