Data Engineer, Consultant

Blue Shield of CA
El Dorado Hills, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

El Dorado Hills, United States of America

Tech stack

Airflow
Azure
Data as a Services
Data Architecture
Information Engineering
Data Infrastructure
Data Systems
Data Warehousing
Distributed Data Store
Cloud Services
DataOps
SQL Databases
Workflow Management Systems
Snowflake
Parallel Computation
Data Analytics
Databricks

Job description

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 endtoend 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 productionready data products.

Requirements

  • 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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