Jobs in the United States

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Added 22 mins ago
GT
Senior Business Analyst - Data Analytics & Reporting Lead - SME - Roseville, CA
Gainwell Technologies LLC
Any city, CA
- $78,100 to $111,600 USD / year
Proficiency with SQL and experience with Python or another data scripting language.
Added 23 mins ago
E
Data Scientist, Fraud Risk Detection
Experian
United States
- $73,789 to $127,901 USD / year
Proficiency in Python, with the ability to write clean, readable, and well-tested code.
Added 32 mins ago
Database Engineer
TTN Fleet Solutions
Farmers Branch, TX
Strong proficiency in a programming language used for data manipulation, preferably Python.
Added 38 mins ago
Staff Machine Learning Scientist
Netskope
Santa Clara, CA
Must have a true startup spirit and be willing to wear multiple hats and deliver end-to-end solutions
Added 40 mins ago
CC
Data Engineer
Clear Capital | CubiCasa | restb.ai
Reno, NV
- $120,000 to $153,700 USD / year
Hands-on experience with AWS services such as IAM, S3, Glue, RDS or Aurora, EKS, SQS, DynamoDB, and Lambda.
Added 42 mins ago
Software Engineer - AI Focus (Center for Technology in Education)
Johns Hopkins University
Remote, United States
Added 45 mins ago
Tax Solution Architect, Strategic Tax Planning
Amazon.com Services LLC
Seattle, WA
- Experience using programming and query languages to automate tax processes, such as Python, SQL, or Power Query.
Added 45 mins ago
Sr. Software Dev Engineer, AWS OpenSearch Service
Amazon Development Center U.S., Inc.
Austin, TX
Amazon OpenSearch is the fully managed and Serverless AWS service that lets customers deploy, operate, and scale OpenSearch for log analytics, full-text search, application monitoring,…
Added 46 mins ago
Architect
Twilio
Remote, United States
…setting their technical strategy, on cloud infrastructure such as AWS, deployed with Kubernetes, Terraform and…
Added 47 mins ago
Senior Staff IT Product Lead - Digital Applications (Commercial Data, Analytics & Sales Operations)
Exelixis Inc
Alameda, CA
…[e.g., SaaS platforms (Veeva, SalesForce) or cloud solutions (AWS, Azure), or functional capabilities specific to business function such as LIMS, SAP ERP, EDC, CTMS, CRM systems widely used…
Added 54 mins ago
AI
Sr. Machine Learning Engineer
ADUS-Adobe Inc.
United States
- $172,500 to $306,625 USD / year
Strong Python engineering skills, including system design, clean architecture, testing, CI/CD, version control, and code review practices.
Added 1 hour ago
Architect
Twilio
Remote, United States
…setting their technical strategy, on cloud infrastructure such as AWS, deployed with Kubernetes, Terraform and…
Added 1 hour ago
VD
Senior AI Engineer
Verizon Data Services LLC
Basking Ridge, NJ · Irving, TX
- $101,000 to $194,000 USD / year
Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction.
Added 1 hour ago
Principal Forward Deployed AI Engineer
Verizon Data Services LLC
Basking Ridge, NJ · Irving, TX · Temple Terrace, FL
…Airflow, Kubernetes microservices, and serverless compute across AWS, GCP, or…
Added 1 hour ago
Distinguished Forward Deployed AI Engineer
Verizon Data Services LLC
Basking Ridge, NJ · Irving, TX · Temple Terrace, FL
…Airflow, Kubernetes microservices, and serverless compute across AWS, GCP, or…
Added 1 hour ago
Senior Data Engineer - Databricks
Capgemini
Atlanta, GA
…Spark (PySpark), Delta Lake, and cloud platforms such as Azure, AWS, or GCP. Proficient in data modeling, data warehousing, performance tuning, and integrating structured and unstructured…
Added 1 hour ago
Staff Data Engineer, Audio Content & Dataset Science (Skywalker Sound)
Lucasfilm Ent Co Ltd, LLC Payroll Svc
Nicasio, CA
Proficiency in Python, with expertise in data manipulation libraries such as Pandas, NumPy, and PyTorch’s data utilities.
Added 1 hour ago
Manufacturing Engineer, AWS Power Electronics
Amazon Data Services, Inc.
Seattle, WA · Cupertino, CA
AWS EC2 owns the design, planning, delivery, and operation of all AWS server instances. In other words, we’re the people who keep the cloud running. We support all AWS compute, storage,…
Added 1 hour ago
Staff Full Stack Product Engineer
LearnLux
CO
Set architectural direction across our React, TypeScript, Node.js, Python, and serverless GCP stack, staying hands-on by directing agents that build, test, and ship.
Added 1 hour ago
Jr. Data Solutions and Software Engineer
The Aerospace Corporation
El Segundo, CA
Intermediate to advanced proficiency in developing, and implementing data-intensive cloud-native applications using Python, C/C++, Java, etc.
Added 1 hour ago
Software Developer
NorthStar Medical Radioisotopes
Beloit, WI
This position requires a minimum onsite presence of three days per week at our Beloit, WI location
Added 1 hour ago
Senior Cloud Engineer
Garmin International, Inc.
Chandler, AZ
Experience in shell scripting, Python, or Ansible development
Added 1 hour ago
OCI Architect
Systems Engineering Solutions Corporation
Remote, United States
…Engineer will support a multi-cloud Network Engineer supporting AWS, Azure, GCP, and OCI. This is an exciting opportunity to use your experience to modernize a leading, global-scale…
Added 1 hour ago
OCI Architect
Systems Engineering Solutions Corporation
Remote, United States
…Engineer will support a multi-cloud Network Engineer supporting AWS, Azure, GCP, and OCI. This is an exciting opportunity to use your experience to modernize a leading, global-scale…
Added 1 hour ago
LIMS Associate, Oncology
BillionToOne
Menlo Park, CA
- In coordination with the LIMS Administrator, liaise with Semaphore Solutions, the external developer of the Labbit LIMS, and with other third party contractors & developers, as needed

Closed listing

Abbott Laboratories

Principal Data Engineer

Madison, WI, United States

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

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 $129,300.00 – $258,700.00.
Posting language: English
Posted: Nov 11, 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. 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.

About employer

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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Jobs in the United States