Data Engineer, Senior

Blue Shield of CA; Oakland (CA); On-site; USD 140,000 - 190,000; 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 in a regulated healthcare environment. You will own end-to-end delivery and collaborate with analytics, security, and product teams.

The role emphasizes production readiness, data governance, and automation within the SDLC, while mentoring junior engineers and driving best practices across data products in a fast-paced setting.

Qualifications

• Requires a bachelor's degree or equivalent experience.
• Minimum 5 years of data engineering experience.
• Strong SQL skills with scripting and automation.
• Expertise with Azure cloud services (ADLS, Synapse, Data Factory).
• Hands-on with dbt, Snowflake, Databricks, Airflow.
• Knowledge of Data Vault 2.0, data integration, warehousing, and data quality.
• CI/CD experience (Bitbucket, GitHub).
• Familiarity with agile delivery and enterprise cloud integration.
• Excellent communication to translate technical solutions.
• Healthcare or regulated environments, Epic exposure preferred.
• Awareness of data governance, security, and production certification.

Responsibilities

• Design, build, and operate complex data pipelines and cloud data solutions.
• Ensure production readiness and operational excellence.
• Embed security, automation, and reliability throughout SDLC.
• Collaborate with stakeholders and support continuous improvement.

Skills

SQL scripting

Cloud platforms (Azure)

ADLS

Synapse

Data Factory

dbt

Snowflake

Databricks

Airflow

Tidal

Data Vault 2.0

Data integration

Data architecture

Data warehousing

Data quality

CI/CD (Bitbucket, GitHub)

Agile delivery methodologies

Excellent communication

Epic ecosystem exposure

Data governance & security standards

Education

Bachelor's degree or equivalent experience

Tools

Azure

ADLS

Synapse

Data Factory

dbt

Snowflake

Databricks

Airflow

Tidal

Bitbucket

GitHub

Job description

Your Role

The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer, Senior will report to the Sr Manager, Data Solutions / Manager. This role is responsible for independent designing, building, and operating complex data pipelines and cloud data solutions while embedding security, automation, and reliability throughout the software development lifecycle (SDLC). The Senior Data Engineer plays a critical role in ensuring production readiness, operational excellence, and adherence to engineering standards across data products.

This role is a hands‑on technical leader who thrives in a collaborative environment, contributes to engineering best practices, and actively supports continuous improvement across people, process, and technology.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience

• 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.