1,000+ matching jobs for “Data Engineer”

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Johnson & Johnson

Data Science Co-Op, Summer 2027

Cincinnati, Ohio, United States

Full time
Temporary

… Inc. business, a part of the Johnson & Johnson family of companies, is recruiting for R&D Engineering & Data Science Co-ops for the Summer 2027 term located in Cincinnati, OH, to help transform the landscape of …

Added Oct 15, 2026

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Thermo Fisher Scientific

Senior Data Analyst – Analytics Engineering & AI

Bengaluru, Karnataka, India

… mission is to enable our customers to make the world healthier, cleaner, and safer. We are seeking a Senior Data Analyst – Analytics Engineering & AI to help advance our enterprise analytics capabilities and accelerate …

Added Oct 16, 2026

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Nvidia

Senior Solutions Architect - Data Center Infrastructure

Santa Clara, California, United States +2 locations

… product, and sales teams and support to achieve Hyperscaler-scale deployment for our groundbreaking data center products. This role requires a strong passion for system design and a successful history of engaging …

Added Oct 28, 2026

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Nvidia

Senior Solutions Architect - Data Center Infrastructure

Santa Clara, California, United States +2 locations

Added Oct 28, 2026

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Business Process Automation & Data Analytics Intern

Heredia, Heredia Province, Costa Rica

Full time
Internship

Business Process Automation & Data Analytics Intern Description - About Us Innovation is in HP’s DNA. From our origins in a Palo Alto garage …

Added Oct 20, 2026

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Capital One Financial

Senior Manager, Product Manager, Customer Data

McLean, Virginia, United States +3 locations

Senior Manager, Product Manager, Customer Data Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, …

Added Oct 27, 2026

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Nvidia

Senior Manager, Engineering - Data Center Firmware

Santa Clara, California, United States +1 location

… firmware engineering organization delivering end-to-end manageability firmware for NVIDIA's next generation Data Center Compute Systems. This role owns HGX product line and OpenBMC-based management firmware and MCU …

Added Oct 27, 2026

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Capital One Financial

Senior Associate, Data Scientist - Card Intelligence

McLean, Virginia, United States +2 locations

Senior Associate, Data Scientist - Card Intelligence Data is at the center of everything we do. As a startup, we disrupted the …

Added Oct 27, 2026

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Capital One Financial

Director, Data Scientist - Global Payment Network

Riverwoods, IL +3 locations

Director, Data Scientist - Global Payment Network Data is at the center of everything we do. As a startup, we disrupted …

Added Oct 27, 2026

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Abbott Laboratories

Head of AI and Data Platform

Alameda, California, United States

Pay posted by employer$172,000–$344,000

Head of AI and Data Platform Lingo Division – Abbott Location: Alameda, CA Working at Abbott At Abbott, you can do work that …

Added Oct 15, 2026

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Capital One Financial

Principal Associate, Data Scientist -Financial Services

Plano, Texas, United States +1 location

Principal Associate, Data Scientist -Financial Services Data is at the center of everything we do. As a startup, we disrupted the …

Added Oct 27, 2026

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Leidos Holdings

Data Scientist w/ DoD Secret Clearance

Huntsville, Alabama, United States

Pay posted by employer$87,100–$157,450

include participating as a team member in cost estimating, test planning and execution, data acquisition, data analysis, and reporting for designated test projects. The individual will collaborate …

Added Nov 3, 2026

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Massachusetts Mutual Life Insurance

Project Manager – Data Science & AI Engineering

Boston, Massachusetts, United States +1 location

Full time
Regular

Pay posted by employer$124,800–$163,800

… committed to helping people secure their future and protect what matters most. As a Project Manager in Data Science & AI Engineering , you’ll lead the delivery of AI and data-driven solutions by managing scope, …

Added Nov 3, 2026

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Merck (MSD)

Specialist, ServiceNow CMDB/CSDM Data Architect

Hyderabad, Telangana, India

… to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal …

Added Oct 16, 2026

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Capital One Financial

Sr. Manager, Data Analyst - Compliance Risk

McLean, Virginia, United States +2 locations

Sr. Manager, Data Analyst - Compliance Risk At Capital One, data is at the center of everything we do. When we launched as a …

Added Oct 27, 2026

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Capital One Financial

Senior Director, Data Scientist - US Card

McLean, Virginia, United States +2 locations

Senior Director, Data Scientist - US Card Data is at the center of everything we do. As a startup, we disrupted the credit card …

Added Oct 27, 2026

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Capital One Financial

Manager, Data Scientist, Travel Intelligence, Hotels

McLean, Virginia, United States +1 location

Manager, Data Scientist, Travel Intelligence, Hotels Data is at the center of everything we do. As a startup, we …

Added Oct 27, 2026

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Capital One Financial

Manager, Data Scientist - Model Risk Office

McLean, Virginia, United States +2 locations

Manager, Data Scientist - Model Risk Office Data is at the center of everything we do. As a startup, we disrupted the …

Added Oct 27, 2026

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Capital One Financial

Principal Associate, Data Scientist - Card Intelligence

McLean, Virginia, United States +2 locations

Principal Associate, Data Scientist - Card Intelligence Data is at the center of everything we do. As a startup, we disrupted the …

Added Oct 27, 2026

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Capital One Financial

Senior Manager, Data Science - Model Risk

Richmond, Virginia, United States +1 location

Senior Manager, Data Science - Model Risk Data is at the center of everything we do. As a startup, we disrupted the credit card …

Added Nov 4, 2026

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Abbott Laboratories

Head of AI and Data Platform

Alameda, California, United States

Pay posted by employer$172,000–$344,000

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Required Qualifications · employer excerpt

Bachelor's degree in computer science, Engineering, Mathematics, or a related technical discipline. Advanced degree in Machine Learning, Data Science, or equivalent preferred.
15+ years of progressive experience in software and data engineering, with a strong foundation as an individual contributor who has personally built production AI and data systems at scale before moving into leadership.
Proven hands-on experience architecting and building large-scale data platforms, including real-time streaming pipelines, data lakes, feature stores, and ML serving infrastructure on cloud platforms (Azure, AWS, or GCP).
Deep system design expertise in distributed data systems: you can whiteboard and lead the design of event-driven data architectures, data models, caching strategies, and real-time biosensor data pipelines from first principles.
Meaningful hands-on experience engineering AI-powered products, including integrating LLMs into production systems, building RAG or agentic pipelines, and deploying ML models within consumer-facing applications.

2 more in the full description below.

About this opportunity

Original employer description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

Head of AI and Data Platform

Lingo Division – Abbott
Location: Alameda, CA

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:

Career development with an international company where you can grow the career you dream of.
Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
An excellent retirement savings plan with a high employer contribution.
Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

About Lingo

Meet Lingo, a new biosensing technology that provides users a window into their body. Lingo tracks key biomarkers such as glucose, ketones, and lactate to help people make better decisions about their health and nutrition. Biowearable technology will digitize, decentralize and democratize healthcare, enabling consumers to take control of their own health.

THE OPPORTUNITY

At Lingo, we are building a groundbreaking health platform that combines continuous biosensor data, real-time analytics, and personalized insights to help people live fuller, longer, and healthier lives. Our systems ingest millions of sensor readings daily, powering AI-driven experiences for consumers and partners worldwide, with the reliability and scalability of cloud-native, enterprise-grade platforms.

We are seeking an experienced and hands-on Head of AI and Data Platform to define the technical vision and lead the engineering execution of Lingo's AI, machine learning, and data infrastructure. This is a leadership role for a builder who has personally architected and delivered production AI and data systems at scale, brings deep technical instincts across ML engineering, data platform design, and LLM-based product development, and knows how to grow and galvanize engineering teams to ship innovative AI-powered health products in a regulated, fast-moving environment.

This is not a strategy-only role. You will be deeply involved in system design, architecture decisions, and critical technical problem solving as a contributor, not just a reviewer, while also building and leading a high-performing global team of AI and data engineers.

What You'll Work On

Define and own the technical architecture for Lingo's AI and data platform, including biosensor data ingestion pipelines, real-time and batch processing infrastructure, feature stores, model serving layers, and data lake design.
Drive the architecture and engineering execution of AI-powered product features, including personalized metabolic health insights, predictive analytics from CGM data, LLM-based conversational health experiences, and on-device ML inference from biosensor data.
Establish engineering standards for AI system design, including model integration patterns, RAG pipeline architecture, prompt engineering practices, evaluation and observability frameworks, and responsible AI guardrails appropriate for a regulated health context.
Lead the engineering execution of ML model development, training, evaluation, and deployment pipelines, ensuring models reach production reliably, safely, and with the observability required to detect drift and degradation.
Build and own MLOps infrastructure including experiment tracking, model registry, automated retraining pipelines, A/B testing frameworks, and model monitoring for production AI systems.
Partner with Data Science and Product teams to translate model research and product requirements into scalable, production-ready AI systems that perform reliably at consumer scale.
Define standards for LLM integration, including prompt management, retrieval-augmented generation, evaluation harnesses, latency and cost optimization, and safety guardrails for health-related conversational AI.
Ensure AI and ML systems maintain ongoing alignment with regulatory requirements including HIPAA, GDPR, and FDA software guidance, in close partnership with Regulatory Affairs, Legal, and Quality Assurance.
Define, manage, and report on engineering OKRs, KPIs, and delivery metrics for the AI and Data Platform function, presenting progress and insights to senior stakeholders.
Standardize tools, development processes, and data engineering practices across AI and data squads to improve alignment, data quality, and delivery consistency.

Required Qualifications:

Bachelor's degree in computer science, Engineering, Mathematics, or a related technical discipline. Advanced degree in Machine Learning, Data Science, or equivalent preferred.
15+ years of progressive experience in software and data engineering, with a strong foundation as an individual contributor who has personally built production AI and data systems at scale before moving into leadership.
Proven hands-on experience architecting and building large-scale data platforms, including real-time streaming pipelines, data lakes, feature stores, and ML serving infrastructure on cloud platforms (Azure, AWS, or GCP).
Deep system design expertise in distributed data systems: you can whiteboard and lead the design of event-driven data architectures, data models, caching strategies, and real-time biosensor data pipelines from first principles.
Meaningful hands-on experience engineering AI-powered products, including integrating LLMs into production systems, building RAG or agentic pipelines, and deploying ML models within consumer-facing applications.
Strong understanding of AI and ML system design considerations, including model serving infrastructure, latency and cost trade-offs, evaluation frameworks, observability, data feedback loops, and safety constraints in sensitive health domains.
Exceptional executive communication skills, including the ability to translate AI and data complexity into clear product and business narratives for C-suite and board audiences.

Preferred Qualifications

Background in digital health, consumer health technology, or other highly regulated industries such as HIPAA, GDPR, and FDA oversight.
Hands-on experience with IoT or biosensor data ingestion pipelines, real-time analytics, or wearable device platforms.
Experience applying AI and ML in health or wellness contexts, including personalization engines, anomaly detection on sensor data, or clinically informed recommendation systems.
Experience with IEC 62304-based software development processes for medical device software.
Experience in high-growth scale-up or venture-backed environments with exposure to rapid product and organizational scaling.
Strong experience defining OKRs, KPIs, and capacity planning for high-throughput, consumer-facing AI platforms with high-availability requirements.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

The base pay for this position is

$172,000.00 – $344,000.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:

Product Development

DIVISION:

LNGO Lingo

LOCATION:

United States > Alameda : 2901 Harbor Bay Parkway

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Yes, 15 % of the Time

MEDICAL SURVEILLANCE:

Not Applicable

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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