Data Engineer, Senior

Blue Shield of CA; Denver (CO); On-site; USD 140,000 - 180,000; Full time

Job summary

Blue Shield of CA in Denver seeks a Senior Data Engineer to design, build, and operate complex data pipelines on cloud platforms, embedding security, automation, and reliability throughout the SDLC.

The role is hands-on and requires collaborating to advance engineering practices, supporting continuous improvement, and delivering data solutions across the enterprise.

Qualifications

• Bachelor's degree or equivalent experience.
• 5+ years of relevant data engineering experience.
• Hands-on experience with SQL, scripting and automation.
• Experience with cloud platforms (Azure preferred) and services like ADLS, Synapse, and Data Factory.
• Hands-on experience with dbt, Snowflake, Databricks, Airflow, or Tidal.
• Knowledge of data modeling (Data Vault 2.0), data integration, architecture, warehousing, and data quality.
• Experience implementing CI/CD pipelines (Bitbucket, GitHub).
• Understanding of agile delivery methodologies and enterprise cloud integration.
• Excellent communication skills for translating technical solutions to non-technical stakeholders.
• Experience in healthcare or regulated environments, including Epic ecosystem exposure preferred.
• Awareness of data governance and production certification processes.

Responsibilities

• Independent designing, building, and operating complex data pipelines and cloud data solutions while embedding security, automation, and reliability throughout the SDLC.
• Hands‑on technical leadership, contributing to engineering best practices and supporting continuous improvement across people, process, and technology.

Skills

SQL scripting

Azure cloud

dbt

Snowflake

Databricks

Airflow

Data Vault 2.0

CI/CD pipelines

Data governance

Data quality

Education

Bachelor's degree

Tools

ADLS

Synapse

Data Factory

Tidal

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.