at Abbott
Compensation
$78k–$156k USD
Posted
Yesterday
Market range · function + seniority
p25 · target · p75 · n=800
Posted $156k · well below market
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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.
The Opportunity
This position works out of our Kansas City, Lake Forest, Willis Tower, or remote locations near an Abbott office in the eScreen Business Group in Abbott Rapid Diagnostics. We’re empowering smarter medical and economic decision-making to help transform the way people manage their health at all stages of life. Every day, more than 10 million tests are run on Abbott’s diagnostics instruments, providing lab results for millions of people.
The AI / BI Engineer contributes to the design, development, and operation of analytics and AI‑ready data solutions on Azure. This role focuses on building reliable data pipelines, Lakehouse and Lakebase Postgres assets, and AI‑enabled applications under the guidance of senior and lead engineers, while developing deep expertise in Azure Databricks, BI, and AI foundations. This is an individual contributor role for someone that is ready to grow their skills in Abbott, we do not expect you to be an expert at this level.
What You’ll Work On
Data & Lakehouse Engineering
Develop and maintain batch and streaming pipelines using Azure Databricks, PySpark, and SQL.
Contribute to Lakehouse and Medallion Architecture components supporting BI, AI, and operational workloads.
Assist in designing and maintaining Lakebase Postgres data models to support AI applications and agents.
Build curated datasets and semantic layers for Databricks AI/BI Dashboards, Genie Spaces, Power BI, and downstream consumers.
AI Platform & Application Support
Support Lakebase Postgres‑powered AI applications, ensuring data accuracy and reliability.
Contribute to Databricks Apps that surface analytics and AI insights to business users.
Assist with development and enhancement of AI agents, including data preparation and embedding pipelines.
Support ML workflows using MLflow and Azure ML integrations.
Contribute to generative AI pipelines such as embeddings, vectorized data, and RAG workflows.
Platform Operations & Collaboration
Monitor and troubleshoot pipelines and application workloads.
Follow established Unity Catalog, governance, and security standards.
Collaborate with BI developers, data scientists, and senior engineers to deliver business outcomes.
Required Qualifications
Bachelor's degree in STEM related field or associate's degree in similar field and 7 years of experience in similar area.
3 or more years of experience in similar area of expertise with bachelor's degree.
Preferred Qualifications
Preferred: Databricks Certified Generative AI Engineer Associate
Azure: Familiarity with ADLS Gen2, Synapse/Data Factory, Key Vault, and cloud fundamentals.
AI & ML: Understanding of ML and generative AI concepts.
Programming: Proficiency in Python and SQL; exposure to PySpark preferred.
Databricks Platform: Working knowledge of Spark, Delta Lake, and Databricks Apps.
Lakebase Postgres & AI Foundations: Introductory experience with relational modeling and AI data access patterns.
Preferred: Databricks Certified Generative AI Engineer Associate
Azure: Familiarity with ADLS Gen2, Synapse/Data Factory, Key Vault, and cloud fundamentals.
AI & ML: Understanding of ML and generative AI concepts.
Master's Degree in similar field
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: https://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.
Connect with us at abbott.com, on LinkedIn at https://www.linkedin.com/company/abbott-/, and on Facebook at https://www.facebook.com/AbbottCareers.
The base pay for this position is
$78,000.00 – $156,000.00In specific locations, the pay range may vary from the range posted.
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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