Data Engineer, Consultant

Blue Shield of CA

Phoenix (AZ)

On-site

USD 140,000 - 180,000

Full time

14 days+

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Job summary

Blue Shield of CA seeks a seasoned Data Engineer to lead end-to-end data solutions across cloud platforms and collaborate with design leads, architects, product managers, and business stakeholders to translate designs into scalable, production-ready data products. You will drive CI/CD, DataOps, and IaC practices, mentor technical contributors, and navigate complex regulatory environments.

A strong background in SQL, Azure data services, Snowflake, Databricks, and orchestration tools is essential

Qualifications

  • Bachelor's degree or equivalent experience.
  • 7+ years of data engineering experience.
  • Advanced hands-on SQL, automation, and pipeline optimization.
  • Azure data services including ADLS, Synapse, Data Factory experience.
  • Snowflake, Databricks, Airflow or similar orchestration experience.
  • Data modeling, integration patterns, data architecture, data warehousing.
  • CI/CD pipelines, Infrastructure as Code, DataOps experience.
  • Security, privacy, and compliance in regulated environments.
  • Experience with large-scale distributed data platforms and parallel processing.
  • Strong communication and stakeholder engagement; ability to lead technically without formal people mgmt.
  • Healthcare industry experience; Epic exposure preferred.

Responsibilities

  • Lead end-to-end delivery of complex data engineering solutions across cloud platforms.
  • Collaborate with Solution Design Leads, Architects, Product Managers, and stakeholders to translate designs into production-ready data products.
  • Drive automation, data quality, and scalable data pipelines in production.
  • Mentor technical contributors and influence architectural decisions.
  • Navigate security, privacy, and regulatory requirements in complex environments.

Skills

SQL
Azure
Snowflake
Databricks
Airflow
Data Modeling
CI/CD
IaC
DataOps
Security
Communication
Leadership
Healthcare

Education

Bachelor's degree

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, Consultant will report to the Sr Manager, Data Solutions / Manager. This role serves as a senior individual contributor and technical leader, responsible for driving end-to-end delivery of complex data engineering solutions across cloud data platforms. The DEC partners closely with Solution Design Leads, Architects, Product Managers, and business stakeholders to translate solution designs and business requirements into scalable, secure, and production‑ready data products.

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 7 years of data engineering experience.
  • Advanced handson expertise in SQL, including automation and pipeline optimization.
  • Strong experience with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory.
  • Extensive experience with modern data platforms including Snowflake, Databricks, and orchestration tools such as Airflow or Tidal.
  • Deep understanding of data modeling, integration patterns, data architecture, data quality, and data warehousing.
  • Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices.
  • Strong understanding of security, privacy, and compliance requirements in regulated environments.
  • Experience working with largescale, distributed data platforms and parallel processing architecture.
  • Excellent communication and stakeholder engagement skills.
  • Proven ability to lead technically without formal people management responsibility.
  • Preferred: Healthcare industry experience, including exposure to Epic or similar ecosystems.
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