Senior Data Engineer: Cloud Pipelines & Data Solutions

Blue Shield of CA

Providence (RI)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Blue Shield of CA is seeking a Senior Data Engineer to design, build, and operate advanced data pipelines and cloud data solutions across the enterprise. You will ensure production readiness, automate workflows, and embed security and reliability throughout the SDLC while collaborating with product and analytics teams.

This hands‑on leadership role requires strong SQL, data modeling (Data Vault 2.0), and cloud expertise with Azure, Synapse, ADLS, and Data Factory.

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

Skills

SQL
Automation
Azure
Data modeling
CI/CD
ETL
Data Vault 2.0
dbt
Snowflake
Databricks
Airflow
Tidal
Epic ecosystem

Education

Bachelor's degree

Tools

ADLS
Synapse
Data Factory
Bitbucket
GitHub

Job description

Blue Shield of CA is seeking a Senior Data Engineer to design, build, and operate advanced data pipelines and cloud data solutions across the enterprise. You will ensure production readiness, automate workflows, and embed security and reliability throughout the SDLC while collaborating with product and analytics teams.

This hands‑on leadership role requires strong SQL, data modeling (Data Vault 2.0), and cloud expertise with Azure, Synapse, ADLS, and Data Factory.

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