Senior Data Engineer: Build Secure Cloud Data Pipelines

Blue Shield of CA; Atlanta (GA); On-site; USD 120,000 - 160,000; 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 own end-to-end delivery, ensuring production readiness, security, and reliability across data products.

The role requires collaborative leadership, hands-on execution, and adherence to engineering standards in a regulated healthcare environment. The ideal candidate brings 5+ years of data engineering experience, strong SQL skills, Azure expertise (ADLS,

Qualifications

• Requires a 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

Azure

dbt

Snowflake

Databricks

Airflow

Tidal

Data Vault 2.0

CI/CD

Agile

Data modeling

Data integration

Education

Bachelor's degree

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 own end-to-end delivery, ensuring production readiness, security, and reliability across data products.

The role requires collaborative leadership, hands-on execution, and adherence to engineering standards in a regulated healthcare environment. The ideal candidate brings 5+ years of data engineering experience, strong SQL skills, Azure expertise (ADLS,