AI/Data Engineer

Abbott

2d • $78,000 - $156,000 • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• Databricks Certified Generative AI Engineer Associate
• Familiarity with ADLS Gen2, Synapse/Data Factory, Key Vault, and cloud fundamentals.
• Understanding of ML and generative AI concepts.
• Proficiency in Python and SQL; exposure to PySpark preferred.
• Working knowledge of Spark, Delta Lake, and Databricks Apps.
• Introductory experience with relational modeling and AI data access patterns.

Responsibilities

• 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.
• 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.
• 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.

Benefits

• 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
• FreeU education benefit

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree