Data Engineer, Senior

• Pay Range for California: $102740.00 to $154220.00
• Pay Range for Bay Area: $115816.00 to $173848.00
• Note: Please note that this range represents the pay range for this and many other positions at Blue Shield that fall into this pay grade. Blue Shield salaries are based on a variety of factors, including the candidate experience, location (California, Bay Area, or outside California), and current employee salaries for similar roles.
• Role can be filled by a candidate requiring sponsorship: No

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.

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

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