Data Engineer, Senior

Blue Shield of California; California (MO); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Blue Shield of California seeks a Senior Data Engineer to design, build, and operate complex cloud data pipelines across use cases in a healthcare context.

You will drive automation, security, and reliability throughout the SDLC, mentor engineers, and collaborate in an agile DevSecOps pod to deliver scalable data solutions.

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 in preferred.
• Awareness of data governance, security standards, and production certification processes

Responsibilities

• Design, build, and maintain complex, data pipelines from development through production for multiple use cases
• Develop efficient, scalable, and cost‑effective implementations, leveraging reusable frameworks and patterns
• Integrate security, automation, and quality controls throughout the SDLC using DevSecOps best practices
• Drive operational excellence, including incident management, root cause analysis, and deployment stability
• Leverage AI‑assisted approaches across development, testing, and deployment to reduce operational overhead and improve quality
• Monitor and manage software configuration changes to address data reliability and customer experience issues
• Coordinate sustaining support for data platforms or business processes within a cloud environment
• Perform monitoring, tuning, and optimization of data pipelines to ensure performance, availability, and efficient resource utilization
• Implement and maintain automated testing, validation, and monitoring frameworks for data workflows
• Work within an agile / DevSecOps pod model alongside solution leads, data modelers, analysts, and business partners
• Provide technical expertise to translate complex functional requirements into robust technical designs
• Mentor and support Data Engineers through code reviews, knowledge sharing, and engineering guidance
• Apply domain knowledge of healthcare and enterprise IT trends to inform solution delivery

Skills

SQL scripting & automation

CI/CD experience

Excellent communication

Agile delivery

Education

Bachelor's degree or equivalent experience

Tools

Azure

ADLS

Azure Synapse

Azure Data Factory

dbt

Snowflake

Databricks

Airflow

Tidal

Data Vault 2.0

Job description

Your RoleThe 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.

Job DescriptionYour RoleThe 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.

Responsibilities

Your Work

• In this role, you will design, build, and maintain complex, data pipelines from development through production for multiple use cases
• Develop efficient, scalable, and cost‑effective implementations, leveraging reusable frameworks and patterns
• Integrate security, automation, and quality controls throughout the SDLC using DevSecOps best practices
• Drive operational excellence, including incident management, root cause analysis, and deployment stability
• Leverage AI‑assisted approaches across development, testing, and deployment to reduce operational overhead and improve quality
• Monitor and manage software configuration changes to proactively address data reliability and customer experience issues
• Coordinate sustaining support for multiple data platforms or business processes within a cloud environment
• Perform monitoring, tuning, and optimization of data pipelines to ensure performance, availability, and efficient resource utilization
• Implement and maintain automated testing, validation, and monitoring frameworks for data workflows
• Work within an agile / DevSecOps pod model alongside solution leads, data modelers, analysts, and business partners
• Provide technical expertise to translate complex functional requirements into robust technical designs
• Mentor and support Data Engineers through code reviews, knowledge sharing, and engineering guidance
• Apply domain knowledge of healthcare and enterprise IT trends to inform solution delivery

Qualifications

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 in preferred.
• Awareness of data governance, security standards, and production certification processes

About Us

About Stellarus and the Ascendiun Family of CompaniesStellarus, launched in January 2025, is designed to scale innovative healthcare solutions that support customers in creating a health care experience deserving of their family, friends, and neighbors.

Stellarus is part of a family of organizations that is overseen by a nonprofit corporate entity named Ascendiun. The Ascendiun Family of Companies also includes Blue Shield of California and its subsidiary, Blue Shield of California Promise Health Plan and Altais, a clinical services company.

Stellarus’ vision is to empower its customers to create a healthcare experience that is worthy of their family, friends, and neighbors. Stellarus’ objective is to offer innovative, modern, scalable solutions that challenge the health care status quo. This very closely aligns with Blue Shield of California’s vision by using innovation to improve quality, affordability, and experience for members.

To achieve our mission, we foster an environment where all employees can thrive and contribute fully to address the needs of the various communities we serve. We are committed to creating and maintaining a supportive workplace that upholds our values and advances our goals.

Our Values:

At Stellarus, our core values of agility, trust, drive, courage and service shape our approach to developing innovative product offerings.

Our Workplace Model:

We believe in fostering a workplace environment that balances purposeful in-person collaboration with flexibility - providing clear expectations while respecting the diverse needs of our workforce. Our workplace model is designed around intentional in-person interaction, collaboration, connection, creativity and flexibility:

• For most teams, this means coming into the office two days per week.
• Employees living more than 50 miles from an office location, out of state employees, and employees in certain member-facing roles should work with their manager to determine in-office time based on business need.
• For employees with medical conditions that may impact their ability to work in-office, we are committed to engaging in an interactive process and providing reasonable accommodations to ensure their work environment is conducive to their success and well-being.

The Company reserves the right to require more presence in the office based on business needs, and requirements are subject to change with periodic reviews.

Physical Requirements:

Office Environment - roles involving part to full time schedule in Office Environment. Based in our physical offices and work from home office/deskwork - Activity level: Sedentary, frequency most of work day.