Jobs in the United States

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Added 1 min ago
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SQL Data Engineer
OpenDataJobs
Washington, DC
- $120,000 to $140,000 USD / year
Build and maintain data pipelines and extract, transform, and load (ETL) and extract, load, and transform (ELT) processes, including loads from Amazon Simple Storage Service (S3).
Added 1 min ago
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Senior SQL Data Engineer
OpenDataJobs
Washington, DC
- $150,000 to $170,000 USD / year
Your first project will likely have you owning the extract, transform, and load (ETL) and extract, load, and transform (ELT) processes, logical and physical data models, physical data…
Added 39 mins ago
Principal Data Engineer
Abbott
Madison, WI
ETL and ELT data pipelines, including batch and event-driven patterns.
Added 44 mins ago
BB
Sales Strategy Specialist
Bimbo Bakeries USA
Chicago
- $105,100 to $147,100 USD / year
Added 1 hour ago
Associate Data and Cost Modeling Analyst - Government Estimating
The Boeing Company
Hazelwood, MO
…to link them for various data tool solutions, managing the ETL…
Added 1 hour ago
New College Grad - Software Engineer
Micron Technology
Boise
Knowledge of Snowflake, SQL Server, ETL/data pipeline development, and data visualization tools such as Tableau or Power BI.
Added 1 hour ago
Lead Data Engineer II
Deloitte US
Los Angeles, CA
5+ years of experience developing and maintaining extract, transform, and load (ETL) or extract, load, and transform (ELT) data pipelines using Python and Structured Query Language (SQL).
Added 1 hour ago
Finance Manager, Finance Transformation and Analytics - North America Customer Fullfillment
Amazon
Arlington, VA
Added 1 hour ago
AI/ML Engineer
BOOZ, ALLEN & HAMILTON, INC.
Arlington, VA
Experience with cloud platforms and enterprise data architectures, including Azure, AWS, data lakes, ETL/ELT pipelines, data quality frameworks, metadata management, lineage, and scalable…
Added 1 hour ago
Data Engineer
BOOZ, ALLEN & HAMILTON, INC.
Arlington, VA
Added 1 hour ago
Data Engineer
Robert Half
Remote, United States
Develop ETL and ELT workflows that ingest, transform, and validate data from healthcare platforms, including Epic Ambulatory and other enterprise sources.
Added 1 hour ago
Data Analyst II
Insight Global
Topeka, KS
…determine whether reporting issues originate from source data, ETL processes, warehouse structures, or report logic. The analyst will partner with business stakeholders to gather…
Added 2 hours ago
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Growth GTM Engineer, Revenue Operations
Perplexity
San Francisco, CA · Austin, TX · New York City, NY
- $175,000 to $235,000 USD / year
Tech stack: Salesforce | Snowflake | dbt | Python | TypeScript | Clay | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | LLM APIs
Added 2 hours ago
SF
Databricks Data Architect
Synectics for Management Decisions Inc
Reston, VA
- $202,000 to $219,000 USD / year
Design and oversee complex data integration, ingestion, transformation, and processing solutions using ETL/ELT frameworks.
Added 2 hours ago
Data Engineer II, Ring/Blink Customer Service Engineering and Insights
Amazon
Hawthorne, CA
…capabilities across the organization. You will operate and evolve ETL pipelines and AWS data infrastructure, ensuring data is secure, reliable, compliant, and ready for downstream…
Added 2 hours ago
GTM Sales Leader
NetApp
San Jose, CA
Familiarity with enterprise data and AI buyers and use cases, including data engineering, ETL/ELT, cloud analytics, and modern data platforms, is desirable.
Added 2 hours ago
Senior Full Stack Software Engineer
Remote, United States
…constant feedback from users. Dimensional invests heavily in developer tools, platforms, paradigms and experience enabling teams to provide modern solutions that contribute profoundly to…
Added 2 hours ago
Senior Staff Enterprise Integration Architect
Zendesk, Inc.
Remote, United States
Apply a multi‐platform integration strategy (Workato, Fivetran ETL, streaming, AWS) to select the right solution based on business and technical needs
Added 2 hours ago
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Data Engineer
lhh
Woodland, CA
- $100,000 to $135,000 USD / year
The Data Engineer will play a key role in establishing scalable data architecture, governance, modeling, and ETL/ELT practices using Microsoft Fabric, SQL, lakehouse and warehouse…
Added 3 hours ago
BW
Senior Database Engineer
Bronco Wine Co
Ceres, CA
- $125,000 to $155,000 USD / year
Added 3 hours ago
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Data Quality Engineer
Bright Vision Technologies
Fremont / East Bay, CA
- $115,000 to $165,000 USD / year
Understanding of data modeling, ETL/ELT, data validation, and integration patterns.
Added 3 hours ago
BV
Data Analyst
Bright Vision Technologies
Fremont / East Bay, CA
- $115,000 to $165,000 USD / year
Understanding of data modeling, ETL/ELT, data validation, and integration patterns.
Added 3 hours ago
BV
Power BI Developer
Bright Vision Technologies
Edison / Middlesex County,, NJ
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Power BI Developer to design, build, validate, and support data solutions that make trusted information available for enterprise operations,…
Added 3 hours ago
BV
Tableau Developer
Bright Vision Technologies
Edison / Middlesex County, NJ
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking a Tableau Developer to design, build, validate, and support data solutions that make trusted information available for enterprise operations,…
Added 3 hours ago
BV
Data Modeler
Bright Vision Technologies
Sunnyvale / South Bay, CA
- $115,000 to $165,000 USD / year
Understanding of data modeling, ETL/ELT, data validation, and integration patterns.

Abbott

Principal Data Engineer

Madison, WI, United States

The base pay for this position is $129,300.00 – $258,700.00.

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Job details

Pay: The base pay for this position is $129,300.00 – $258,700.00.
Posting language: English
Posted: Nov 11, 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.

Position Overview

The Principal Data Engineer (IC) is a senior individual contributor and the accountable technical leader for assigned cross-domain initiatives and enterprise data engineering capabilities. The role owns integrated technical direction and technical outcomes for work spanning multiple data domains, defines and stewards enterprise engineering standards and reference architectures, and drives convergence where duplicated or inconsistent solutions create enterprise cost, risk, or operational burden. The role advises on scope, sequencing, capacity, dependencies, and technical debt, but does not independently commit domain resources or business delivery dates. This position has no people-management responsibility.

Enterprise Data operates a domain-aligned model built on Databricks and Unity Catalog. Working with Domain Leaders, Staff Engineers, Platform Engineering, and partner organizations, the role converts ambiguous enterprise needs into executable architecture and carries the most complex or highest-risk work through validation and production. The role remains hands-on through prototyping, reference implementations, critical-path development, design and code review, and production problem solving.

Essential Duties

Include, but are not limited to, the following:

Cross-domain technical leadership and delivery

Own the technical outcome of assigned cross-domain initiatives from initial ambiguity through production and lifecycle support.
Convert enterprise needs into integrated architecture and executable technical plans, decomposing complex work into deliverable increments across domains.
Coordinate technical execution across domain Staff Engineers and partner teams, identifying dependencies and architectural risks, and escalating decisions requiring business or delivery authority.
Remain hands-on through prototypes, reference implementations, critical-path development, technical validation, and production problem solving.

Enterprise architecture and standards

Define, steward, and evolve enterprise data engineering standards, patterns, and reference architectures, and drive convergence where inconsistent or duplicative implementations create enterprise cost, risk, or operational burden.
Lead architecture for assigned enterprise capabilities, including semantic and metrics layers, canonical data models, batch, API, event-driven, and streaming patterns, and governed data products supporting analytics, machine learning, and AI.
Establish enterprise data-contract standards covering schemas, service expectations, compatibility, breaking-change policy, and producer-consumer responsibilities, and partner with Platform Engineering to convert recurring cross-domain needs into shared capabilities.

Technical leadership and mentorship

Lead enterprise design and code reviews for high-complexity or cross-domain work, and coach and mentor Staff and Senior Engineers across domains without formal people authority.
Communicate architecture and technical tradeoffs clearly to engineering, business, and executive stakeholders, and build reusable guidance that increases engineering consistency across Enterprise Data.

Operational excellence, security, and efficiency

Evaluate architecture tradeoffs across reliability, scalability, performance, security, privacy, operability, adoption, and technical cost, and drive cost-efficient use of compute, storage, streaming, and orchestration.
Serve as the enterprise technical escalation for incidents involving multiple domains or shared architecture patterns, and lead root-cause analysis and preventive changes for recurring enterprise issues.
Design and review architectures handling protected health information to meet applicable security, privacy, lineage, audit, Quality Management System, HIPAA, CLIA, and regulatory requirements.
Provide technical direction and due diligence for vendor and external-partner solutions, and advance responsible engineering practices including approved AI-assisted development capabilities.
Ability to work nights and/or weekends, as needed.
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; or High School Diploma/General Education Degree and 12 years of relevant experience as outlined in the essential duties in lieu of Bachelor's Degree.
Expert-level experience with software development design and development and with relevant domain specific skills (see below).
Spark on Databricks or comparable platforms; Python, Scala, SQL, and Snowflake experience.
ETL and ELT data pipelines, including batch and event-driven patterns.
Designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.
Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
Open data file and table formats (Parquet, Avro, Delta Lake); cloud infrastructure and delivery services (AWS, S3, SQS, and GitLab CI/CD).
REST API development; familiarity with BI concepts and Tableau performance considerations.
Agile development tools; including, but not limited to, JIRA, Confluence repository.
Demonstrated ability to lead through influence across multiple teams and communicate complex technical decisions to senior engineering, business, and executive stakeholders.
Demonstrated ability to perform the essential duties of the position with or without accommodation.

Preferred Qualifications

Databricks, Apache Spark, Delta Lake, and Unity Catalog at enterprise scale.
Kafka, change data capture, and production event-streaming architectures.
Semantic or metrics layer design, canonical data models, and governed data products.
Cloud data architecture in AWS, Azure, or Google Cloud Platform.
Life sciences, diagnostics, or clinical laboratory environments involving protected health information, HIPAA, CLIA, FDA, or Quality Management System requirements.
Technical assessment and architecture direction for vendor and external-partner platforms.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state, or federal law. Applicable portions of the Company’s affirmative action program are available to any applicant or employee for inspection upon request.

The base pay for this position is $129,300.00 – $258,700.00. In specific locations, the pay range may vary from the range posted.

An Equal Opportunity Employer

Abbot welcomes and encourages diversity in our workforce.

We provide reasonable accommodation to qualified individuals with disabilities.

To request accommodation, please call 224-667-4913 or email corpjat@abbott.com

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More about this job

Skills

Data engineering
Team leadership
Databricks
Unity
Problem solving
Leadership
Blueprints
Data models
Machine learning
Root cause analysis
Teamwork
Quality assurance procedures
Computer science
Software development
Apache Spark
Python
Scala
SQL
Snowflake
Data modelling
NoSQL
Debugging
Apache Avro
AWS
GitLab
CI/CD
API development
Tableau
Agile development
Atlassian JIRA
Atlassian Confluence
Apache Kafka
Microsoft Azure
Google Cloud
Inspection

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Work requirements

Jobs in the United States