Jobs in the United States

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Added 6 mins ago
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Forward Deployed Engineer
Generalist
San Mateo, CA
- $150,000 to $200,000 USD / year
- Learn unfamiliar technical domains quickly and are curious about machine learning, robotics, and the gap between a successful demonstration and reliable operation.
Added 6 mins ago
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Forward Deployed Engineer
Generalist
Somerville, MA
- $150,000 to $200,000 USD / year
- Learn unfamiliar technical domains quickly and are curious about machine learning, robotics, and the gap between a successful demonstration and reliable operation.
Added 10 mins ago
Quality Engineer, AI & Test Automation
Baylor Scott & White Health
Montpelier, VT
· The Quality Engineer, AI & Test Automation helps modernize BSWH’s quality approach by moving beyond traditional manual testing toward automation-first, engineering-integrated, and…
Added 10 mins ago
Senior Staff Engineer - Agentic Identity
Cisco
Montpelier, VT
Join us as we pursue our vision to make machine data accessible, usable, and secure for everyone. As AI agents rapidly emerge as active users - executing searches, calling APIs, and…
Added 12 mins ago
Software Engineer, Triage Services
Apple
Cupertino, CA
MS or PhD in Computer Science, Machine Learning, or a related field.
Added 16 mins ago
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Sr. IT Support Engineer
iSoftStone
Bellevue, WA
- $48 to $60 USD / hour
iSoftStone is a global IT service and consulting company that creates value and drives success through technology solutions, service excellence, and digital innovation. We specialize in web…
Added 20 mins ago
GI
Data Engineer/Analyst
Guidehouse Inc.
VA
- $98,000 to $163,000 USD / year
…to advance American diplomacy, strengthen global operations, and improve mission and management decisions. This high-performing team partners with Department bureaus, offices, and overseas…
Added 24 mins ago
Data Engineer
Booz Allen Hamilton_United States
Tampa, FL
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data…
Added 24 mins ago
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Principal Research Scientist I
AbbVie
North Chicago, IL
- $124,500 to $236,500 USD / year
For the Principal Research Scientist I position, we are seeking a highly motivated and experienced data scientist to provide scientific and technical leadership for analytical data science,…
Added 25 mins ago
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Data Engineer (Azure)
Kforce
New York, NY
- $45 to $50 USD / hour
Develop solutions combining data blending, profiling, mining, statistical analysis, and machine learning, to better define and curate models, test hypothesis, and deliver key insights
Added 25 mins ago
Principal Software Development Engineer (AI Innovation)
CVS Health
Richardson, TX
Proficiency in AI/ML, with hands-on experience in building, integrating, and scaling machine learning models and intelligent systems using state-of-the-art frameworks.
Added 26 mins ago
Software Engineer II - AI Platforms
US: Mastercard International Incor
Atlanta, GA
Mastercard is seeking a Software Engineer II to design, build, and enhance production-grade AI platform capabilities that enable AI-powered products and agentic experiences across B&MI.
Added 26 mins ago
Software Engineer II - AI Platforms
US: Mastercard International Incor
Atlanta, GA
Mastercard is seeking a Software Engineer II to design, build, and enhance production-grade AI platform capabilities that enable AI-powered products and agentic experiences across B&MI.
Added 26 mins ago
Senior Software Engineer - AI Platforms
US: Mastercard International Incor
Atlanta, GA
Mastercard is seeking a Senior Software Engineer to design and build production-grade AI platform capabilities that enable AI-powered products and agentic experiences across B&MI.
Added 28 mins ago
Machine Learning Engineer
ADT
Irving, TX · Boca Raton, FL
The Machine Learning Engineer will be responsible for designing, building, and deploying production-grade machine learning models and AI systems within ADT's Data & AI organization. This…
Added 32 mins ago
Distinguished Engineer, Trading
LPL Financial Corp
United States
…visionary responsible for driving the adoption, governance, and scale of artificial intelligence across LPL's trading, advisory, and wealth management platforms. You will partner with…
Added 45 mins ago
Senior Sales Systems Engineer (South Atlantic)
Veeam Software
Miami, FL
Foundational understanding of AI, machine learning, and large language models (LLMs), with the ability to articulate how trusted, resilient data underpins AI initiatives.
Added 46 mins ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs.
Added 46 mins ago
AI DevOps Engineer
PingWind
Rockville, MD
PingWind is seeking an AI DevOps Engineer with a strong emphasis on Artificial Intelligence and Machine Learning to join the PingWind team supporting Agency for Healthcare Research and…
Added 49 mins ago
Mission Operations Engineer, USMC (Active Clearance)
Anduril Industries
Washington, DC · Costa Mesa, CA
Technical Aptitude and Intellectual Curiosity. We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed…
Added 49 mins ago
Mission Operations Engineer, USMC (Active Clearance)
Anduril Industries
Costa Mesa, CA · Washington, DC
Technical Aptitude and Intellectual Curiosity. We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed…
Added 53 mins ago
Senior Staff Software Engineer_Voice AI Agent Prompting
ServiceNow
Santa Clara, CA
The Forward Deployed Engineer, Voice AI Agent Engineering designs, builds, ships, and operates voice AI agents whose core behavior is model-driven rather than explicitly authored -…
Added 59 mins ago
Principal Engineer, Clinical Data and AI Platforms
CVS Health
Work at Home, CT · Work At Home, CA · Work At Home, FL · Work At Home, IL · Work At Home, MA · Work At Home, NJ · Work At Home, NY · Work At Home, PA · Work At Home, RI · Work At Home, TN · Work At Home, TX · Work At Home, VA · Work At Home, WA
Production experience with machine learning or large language model systems, including retrieval, extraction, evaluation and serving at scale.
Added 1 hour ago
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Software Engineer Advisor
Federal Express Corporation
Remote, United States
- $8,007.29 to $18,149.85 USD / month
· Google Cloud Certified: Professional Cloud Architect or Professional Machine Learning Engineer.
Added 1 hour ago
Staff, Mapping Software Engineer
Lucid Motors
Newark, CA
Apply machine learning, Spatial AI, and foundation models to automate map creation, semantic understanding, anomaly detection, and map quality evaluation.

Closed listing

Abbott Laboratories

Staff Data Engineer

Madison, WI, United States

The base pay for this position is $99,300.00 – $198,700.00.

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: The base pay for this position is $99,300.00 – $198,700.00.
Experience: 8+ years of progressively responsible experience in data engineering or a closely related discipline.
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

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 122,000 colleagues serve people in more than 160 countries. The Staff Data Engineer is a senior, hands-on technical contributor within an Enterprise Data domain, owning technical design and the most complex implementation work for assigned data products, capabilities, and integrations. The role establishes, communicates, and evolves the technical approach for the work it leads and is accountable for the quality, durability, and supportability of the solutions it shapes. Staff Data Engineers work directly with business stakeholders to understand needs and shape technical solutions, engaging at a level appropriate to the work they lead. The role is expected to be fluent in both technical execution and business context, translating between them without losing precision in either.

The Staff Data Engineer sets technical direction for assigned capabilities and initiatives within the domain, applies enterprise standards and platform patterns, engages Principal Engineers where cross-domain considerations apply, and multiplies the effectiveness of the domain team through design leadership, code review, and mentoring.

This role is based in Madison, WI. Relocation assistance may be available for qualified candidates.

Essential Duties

Include, but are not limited to, the following:

Technical design and solutioning

Own technical design and hands-on delivery for the most complex or highest-risk work across assigned data products, capabilities, and initiatives, including data models, pipeline architecture, integration patterns, and platform usage decisions.
Produce design documentation that allows others to understand, review, and build on technical decisions, and drive design review with domain and cross-domain peers.
Build and evolve assigned domain data products so they are documented, discoverable, governed, observable, and supported throughout their lifecycle for reuse across analytics, semantic layers, machine learning, and AI applications.
Define and uphold data contracts for the products the domain publishes, including schemas, freshness and availability expectations, breaking-change policy, and producer and consumer responsibilities.
Design data products for AI and machine learning consumption with reproducibility, lineage, timeliness, and defined data quality controls appropriate to the use case.
Diagnose and resolve complex production and data quality issues, and drive root cause resolution rather than recurring remediation.
Use approved AI-assisted development tooling where appropriate to accelerate engineering work, validating output against correctness, security, privacy, and quality standards.
Own the technical cost efficiency of assigned data products, including compute and warehouse sizing, job and query optimization, serverless and storage tradeoffs, and cost-to-serve implications.
Evaluate and recommend tools, patterns, and platform capabilities within enterprise standards, raising cases where an exception may be warranted.

Stakeholder engagement

Work directly with business stakeholders to understand needs, clarify requirements, and shape technical solutions.
Communicate technical concepts, tradeoffs, constraints, and delivery implications clearly to non-technical audiences.
Participate in technical working sessions with partner organizations such as Software Engineering, IT Applications, and Enterprise Architecture on integration and design questions affecting the domain.
Surface scope, priority, resourcing, and technical-debt implications of technical decisions for leadership review rather than resolving them independently.

Technical leadership and multiplication

Serve as a technical lead for assigned domain capabilities and initiatives, guiding engineers through design and implementation without formal authority.
Provide code and design review that raises quality and consistency across the domain team.
Mentor engineers and support their technical growth, including engineers transitioning into data engineering from adjacent disciplines.
Engage Principal Engineers on cross-domain architecture patterns and enterprise standards, and contribute domain perspective to initiatives that extend beyond the domain.
Lead adoption and continuous improvement of domain testing, observability, CI/CD, and delivery practices within enterprise standards.

Operational excellence and compliance

Ensure delivered solutions meet requirements for quality, reliability, scalability, performance, observability, security, privacy, access, and lifecycle management.
Design and implement appropriate handling of protected health information and other sensitive data, including access control, masking and de-identification, lineage, retention, and audit support consistent with HIPAA, CLIA, and enterprise privacy standards.
Serve as domain subject matter expert for significant production incidents affecting domain systems.
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
Support and comply with the company's Quality Management System policies and procedures.
Maintain regular and reliable attendance.
Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications

Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering.
8+ years of progressively responsible experience in data engineering or a closely related discipline.
Demonstrated experience owning technical design and hands-on delivery for complex data products, pipelines, or platform capabilities from design through production support.
Advanced SQL and Python, with experience applying relational, dimensional, and semi-structured data modeling approaches.
Experience designing and operating scalable, reliable distributed data systems on a modern data platform such as Databricks, including Spark, and using cloud infrastructure services such as AWS, Azure, or Google Cloud Platform.
Experience with version control, automated testing, and CI/CD practices, and with orchestration and transformation tooling such as Databricks Workflows, Delta Live Tables, Airflow, or dbt.
Experience delivering governed data using catalog, lineage, access control, and data quality capabilities such as Unity Catalog.
Demonstrated ability to work directly with business stakeholders to translate needs into technical solutions, mentor engineers, and raise technical quality across a team.
Demonstrated ability to perform the essential duties of the position with or without accommodation.

Preferred Qualifications

Experience with streaming and event-driven architectures such as Kafka.
Experience in a regulated environment such as HIPAA, CLIA, SOX, FDA, ISO 13485, or IEC 62304, ideally in life sciences, diagnostics, or clinical laboratory data handling protected health information.
Experience with semantic layers, metric definitions, data products, or feature pipelines supporting analytics, machine learning, and AI use cases in production.
Experience with open data file and table formats such as Parquet, Avro, and Delta Lake.
Experience with REST API development and integration patterns.
Familiarity with business intelligence concepts and semantic consumption patterns, including how data models and platform design affect performance in tools such as Tableau.

The base pay for this position is $99,300.00 – $198,700.00. In specific locations, the pay range may vary from the range posted.

About employer

More about this job

Skills

Data models
Documentation
Machine learning
Stakeholder management
Leadership
Data engineering
Process improvement
CI/CD
Regulatory compliance
Teamwork
Quality assurance procedures
Computer science
SQL
Python
Data modelling
Databricks
Apache Spark
AWS
Microsoft Azure
Google Cloud
Test automation
Apache Airflow
dbt
Unity
Apache Kafka
Apache Avro
API development
Business intelligence
Tableau

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