Data Engineer, Consultant

Blue Shield of CA; Miami (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

Blue Shield of California is seeking a senior Data Engineer, Consultant to lead end-to-end data engineering initiatives across cloud platforms. You will partner with architects, product managers, and stakeholders to translate designs into scalable, secure data products.

The role emphasizes hands-on expertise in SQL, cloud services (Azure preferred), and modern data platforms like Snowflake and Databricks, with a focus on DataOps and secure, compliant delivery.

Qualifications

• 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.

Responsibilities

• Lead end-to-end delivery of data engineering solutions across cloud data platforms.
• Translate solution designs and business requirements into scalable, production-ready data products.
• Collaborate with Solution Design Leads, Architects, Product Managers, and stakeholders to align technical delivery with business goals.
• Establish and enforce CI/CD pipelines and DataOps practices to ensure reliable deployments.
• Drive data quality, security, and compliance in regulated environments.
• Mentor and technically lead teams without formal management responsibility.

Skills

SQL

Cloud platforms

Airflow

CI/CD

DataOps

Data modeling

Stakeholder communication

Technical leadership

Security and compliance

Education

Bachelor’s degree

Tools

Azure

ADLS

Synapse

Data Factory

Snowflake

Databricks

Airflow

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, 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.