Data Engineer II: Build Reliable Pipelines & Analytics (Hybrid)
Inland Empire Health Plans
14 days+
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Job summary
A healthcare organization in Rancho Cucamonga seeks a Data Engineer II to enhance data reliability and quality. This role involves improving architectures for data extraction and transformation, with responsibilities that include implementing ETL procedures and managing database lifecycle. Ideal candidates should have four years of relevant experience plus a bachelor's degree. The position offers hybrid scheduling and a range of benefits including competitive salary and wellness programs.
Qualifications
- Four years of relevant work experience in data modeling.
- Experience with orchestration tools, CI/CD practices.
- Development experience using PySpark, Hadoop, and Kubernetes.
Responsibilities
- Implement methods to improve data reliability and quality.
- Manage the entire back-end development life cycle for the data warehouse.
- Handle tasks associated with ETL procedures and database performance.
Skills
Data modeling
SQL
Azure DevOps
Python
Data privacy practices
T-SQL optimization
Education
Bachelor's degree from an accredited institution
Master’s degree from an accredited institution preferred
Azure Data Engineering Certification preferred
Tools
Azure Data Catalogue / Purview
Databricks
Power BI Dataflows
Azure Cloud
PowerShell
Job description
A healthcare organization in Rancho Cucamonga seeks a Data Engineer II to enhance data reliability and quality. This role involves improving architectures for data extraction and transformation, with responsibilities that include implementing ETL procedures and managing database lifecycle. Ideal candidates should have four years of relevant experience plus a bachelor's degree. The position offers hybrid scheduling and a range of benefits including competitive salary and wellness programs.
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