Jobs in the United States

25+ jobs

Added 9 mins ago
Senior Principal Software Engineer – GlobalProtect (Windows & macOS Internals)
Palo Alto Networks, Inc.
CA
As a Senior Principal Software Engineer for GlobalProtect, you will be the hands-on technical authority for our endpoint networking stack across the Windows driver and macOS…
Added 11 mins ago
Digital Innovation Software Engineering Leader
Barry-Wehmiller
Remote, United States
…planning, talent acquisition, and people management for a single software engineer…
Added 11 mins ago
Principal RF System Analysis Engineer
RTX
United States
Our Advanced Radar RF & Systems Engineering Department has an immediate need for a Principal RF Systems Analysis Engineer to support the design, integration, production, test, and…
Added 12 mins ago
Civil Engineering Lead
Sunde Engineering
Bloomington, MN
We are seeking an experienced and motivated Civil Engineer with expertise in water resources to lead our Environmental Engineering Group. This leadership role offers the opportunity to…
Added 14 mins ago
A
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 15 mins ago
Principal Software Development Engineer (AI Innovation)
CVS Health
Richardson, TX
The Principal Software Development Engineer will drive innovative, enterprise-wide solution designs at the business unit level for highly complex, strategic initiatives. In this high-impact…
Added 27 mins ago
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Principal Software Engineer - Digital Media - Dallas, TX
Military Spouse Jobs & VetJobs
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- $120,000 to $180,000 USD / year
Proven experience acting as a Lead, Principal, or Founding Engineer in a startup or high-growth environment.
Added 32 mins ago
Principal Software Engineer, Agentic UX
Workday, Inc.
CA
As a Principal Software Engineer, Agentic UX in Agent Factory, you’ll help build the conversational AI experience and ambient capabilities that bring Workday’s agents to life. You are an…
Added 34 mins ago
Principal / Sr Principal Modeling Simulation Systems Engineer - 18976
CORP-Corporate Office
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Northrop Grumman Defense Systems is seeking a Principal / Sr Principal Modeling Simulation Engineer Systems. This opening is in Roy, UT and will support the Sentinel Program. Northrop…
Added 34 mins ago
Sentinel - Principal / Sr Principal Systems Engineer - 18977
CORP-Corporate Office
United States
Northrop Grumman Defense Systems is seeking a Principal / Sr Principal Systems Engineer. This opening is in Roy, UT and will support the Sentinel Program. Northrop Grumman supports the Air…
Added 34 mins ago
Sentinel - Nuclear Hardness Survivability Engineer - 20483*
CORP-Corporate Office
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Northrop Grumman Defense has an opening for a Nuclear Hardness Survivability Systems Engineer (Level 2/3) to join its Guidance Computer team in Roy, UT in support of the Sentinel Program.…
Added 34 mins ago
Senior Principal Systems Engineer *
CORP-Corporate Office
United States
In this role, the Systems Engineer – Level 4 will work in tandem with a scrum team of other software and systems engineers responsible for defining the product vision, managing the product…
Added 34 mins ago
Principal or Sr. Principal DevOps Engineer
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Northrop Grumman Mission Systems is looking for you to join our Software and Digital Technology Team as a Principal or Sr. Principal DevOps Engineer based out of Baltimore, MD.
Added 34 mins ago
Principal/ Sr Principal Mission Assurance Engineer - 18208
CORP-Corporate Office
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Northrop Grumman Defense Systems is seeking a Principal/Sr. Principal Mission Assurance Engineer to support the SLCM-N Program Quality & Mission Assurance Team in Huntsville, AL. This role…
Added 34 mins ago
Sentinel - Systems Engineer / Principal Systems Engineer - 20060
CORP-Corporate Office
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Northrop Grumman Defense has an opening for a Systems Engineer (level 2)/Principal Systems Engineer (level 3) to support a Futures Program within the Command Systems Business Unit (BU)…
Added 34 mins ago
Sr Principal Engineer Systems
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Basic Qualifications for a Senior Principal Systems Engineer:
Added 34 mins ago
DevOps Engineer - Level 3 or 4
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…Business Unit (BU) has an exciting career opportunity for a Principal DevOps Engineer – Level 3 or a Sr. Principal DevOps Engineer – Level 4 to join our team of qualified, diverse…
Added 35 mins ago
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Principal Software Engineer
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- $191,300 to $256,500 USD / year
As the Principal Software Engineer for the Rights & Accounting team within Content Platforms, you will serve as a senior technical leader, driving engineering standards, leading…
Added 35 mins ago
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Principal Platform AI Engineer, Healthcare Agentic AI
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Added 45 mins ago
GPU Design Verification Engineer
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Added 49 mins ago
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Added 1 hour ago
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Added 1 hour ago
Software Engineer 3/Sr/Principal
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HPE Labs - Principal Research Engineer - HPE Quantum
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…including integration with high-performance computing (HPC). As a Principal Software Engineer, you will help advance quantum computing from research toward practical applications. You will…

Staff Data Engineer

United States

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

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Job details

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

Original job 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 122,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

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 – $198,700.00In specific locations, the pay range may vary from the range posted.

JOB FAMILY:

Product Development

DIVISION:

ONCO Cancer Diagnostics

LOCATION:

United States > Madison : 1 Exact Lane

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Yes, 10 % of the Time

MEDICAL SURVEILLANCE:

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday) 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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More about this job

Skills

Leadership
Coaching
Data models
Documentation
Machine learning
Stakeholder management
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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