Senior Data Engineer: Cloud Pipelines & Data Quality Leader

Blue Shield of CA; Minneapolis (MN); On-site; USD 120,000 - 170,000; Full time

Job summary

Blue Shield of CA is seeking a Senior Data Engineer to design, build, and operate complex data pipelines and cloud data solutions. You will contribute to engineering best practices, automate data workflows, and ensure production readiness while embedding security and reliability throughout the SDLC.

The ideal candidate has 5+ years of data engineering experience, strong SQL, and hands‑on experience with Azure services (ADLS, Synapse, Data Factory) and modern data tools such as dbt, Snowflake,

Qualifications

• Bachelor's degree or equivalent experience.
• Requires a minimum of 5 years of relevant data engineering experience.
• Strong hands‑on experience with SQL, including scripting and automation.
• Expertise with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory.
• Hands‑on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal.
• Solid knowledge of data modeling (Data Vault 2.0), data integration, data architecture, warehousing, and data quality.
• Experience implementing CI/CD pipelines (e.g., Bitbucket, GitHub).
• Strong understanding of agile delivery methodologies and enterprise cloud integration.
• Excellent communication skills with the ability to translate technical solutions to non‑technical stakeholders.
• Experience in healthcare or regulated environments, including Epic ecosystem exposure preferred.
• Awareness of data governance, security standards, and production certification processes.

Skills

SQL

Data modeling

CI/CD

Agile methodologies

Data integration

Data quality

Security & governance

Education

Bachelor's degree or equivalent experience

Tools

Azure

ADLS

Synapse

Data Factory

dbt

Snowflake

Databricks

Airflow

Tidal

Bitbucket

GitHub

Job description

Blue Shield of CA is seeking a Senior Data Engineer to design, build, and operate complex data pipelines and cloud data solutions. You will contribute to engineering best practices, automate data workflows, and ensure production readiness while embedding security and reliability throughout the SDLC.

The ideal candidate has 5+ years of data engineering experience, strong SQL, and hands‑on experience with Azure services (ADLS, Synapse, Data Factory) and modern data tools such as dbt, Snowflake,