Data Engineer, Senior

Blue Shield of CA; Seattle (WA); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Job summary

Blue Shield of CA is seeking a Senior Data Engineer to design, build, and operate complex data pipelines and cloud data solutions for the enterprise. This hands‑on technical leader will mentor teams, drive production readiness and security, implement automation, and ensure reliability across data products using Azure, Synapse, Databricks, Airflow, and the broader data stack.

You will collaborate with stakeholders to translate complex data concepts for non-technical audiences and help shape

Qualifications

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

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.