Principal Data Engineer - Data Lakehouse & AI Platforms

Blue Shield of CA; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Job summary

Blue Shield of CA is seeking a Data Engineer, Principal to lead the end-to-end delivery of data-driven solutions. You will partner with Enterprise Architects and Analytics teams to design cloud data lakes, data warehouses, and data marts to meet enterprise data needs.

You will mentor senior engineers, influence architecture decisions, and apply AI/ML concepts within a regulated, large-enterprise environment. This role emphasizes leadership, advanced modeling, and scalable data platforms.

Qualifications

• Bachelor's degree or equivalent experience.
• 10+ years of relevant data engineering experience.
• Experience with enterprise AI/ML and data products.
• Expertise in data vault 2.0, dimensional modeling, lakehouse architectures.
• Ability to influence enterprise architecture and mentor senior engineers.
• Deep knowledge of data management, modeling, integration, and warehousing.
• Hands-on AI/ML experience in enterprise environments.
• Proficiency in SQL, Python, DBT Cloud; DBT core; noSQL platforms.
• Experience with CI/CD, Git, Jira.

Responsibilities

• Lead design and end-to-end delivery of data solutions and data products.
• Design cloud data lakes, data warehouse, and data mart architectures.
• Mentor and influence senior engineers; partner with architects and analytics teams.
• Drive scalable, high‑volume data platforms with parallel and distributed architectures.

Skills

Leadership & mentoring

Enterprise data strategy

AI/ML concepts

Data governance & privacy

Education

Bachelor's degree

Tools

SQL

Python

DBT Cloud

DBT Core

Snowflake

Databricks

Synapse

Job description

Blue Shield of CA is seeking a Data Engineer, Principal to lead the end-to-end delivery of data-driven solutions. You will partner with Enterprise Architects and Analytics teams to design cloud data lakes, data warehouses, and data marts to meet enterprise data needs.

You will mentor senior engineers, influence architecture decisions, and apply AI/ML concepts within a regulated, large-enterprise environment. This role emphasizes leadership, advanced modeling, and scalable data platforms.