Developer Jobs in Rancho Cucamonga, CA

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11d ago

Data Engineer II

Inland Empire Health Plan Rancho Cucamonga, CA

Rancho Cucamonga, CA

11d ago

$104k - $138k/yr Full time Analytics Azure Data Factory Azure Databricks

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Job Description

Inland Empire Health Plan offers a data engineering role that emphasizes service, stability, and ongoing growth. The Data Engineer II position provides a competitive salary range of USD 104,041.60 to 137,841.60 per year and a hybrid work setup in Rancho Cucamonga, CA. You will design, build, and maintain the data warehouse ETL landscape to improve data reliability, accessibility, and analytics, collaborating across data engineering, BI and analytics, and enterprise architecture to strengthen our enterprise data capabilities.

Work model: hybrid schedule with remote work on Mondays and Fridays and on-site collaboration Tuesday through Thursday in Rancho Cucamonga, CA.

Benefits

Competitive salary
Hybrid schedule
State of the art fitness center on-site
Medical Insurance with Dental and Vision
Life, short-term, and long-term disability options
Career advancement opportunities and professional development
Wellness programs that promote a healthy work-life balance
Flexible Spending Account – Health Care/Childcare
CalPERS retirement
457(b) option with a contribution match
Paid life insurance for employees
Pet care insurance

Overview

What you can expect is a role rooted in serving others, with opportunities to grow alongside a team dedicated to healing and inspiring the human spirit. This position invites you to move from a routine job to a meaningful, authentic experience within IEHP.

Responsibilities

Design and implement data warehouse ETL solutions using SSIS, Azure Data Factory, Synapse Analytics, Az Data Bricks, and PySpark ETL
Develop data collection processes aligned with the data warehouse
Ingest data from legacy systems to support a centralized data warehouse and reporting platform
Develop technical solutions to meet Data Warehouse, BI and Analytics requirements
Collaborate with informaticists and analysts to translate analytic needs into technical solutions
Contribute to data integration strategies and roadmaps
Build and maintain scalable data pipelines and microservices-based architectures based on platform and application requirements
Work with the Data Engineering, BI and Analytics, Data Warehouse Architect, and Data Systems Architect to design data and analytics solutions that improve usability, completeness, and accuracy of enterprise data
Support stakeholders including executives, product, data and design teams with data-related technical issues and infrastructure needs
Analyze user requirements and translate them into database specifications, implementing them in code
Analyze data issues, map data, and automate enhancements to data quality
Assemble large, complex data sets that meet functional and non-functional business requirements
Identify and implement process improvements, automating manual pipelines, optimizing data ingestion and consumption, and redesigning infrastructure for scalability and microservices
Create, maintain, and optimize SQL queries and routines
Analyze data quality issues to determine root causes and implement solutions
Develop, adopt, and enforce Data Warehouse and ETL standards and architecture
Monitor and support ETL processes to ensure data integrity and proper integration of data sources
Facilitate problem management and cross-team communication among data architects, managers, informaticists, and analysts
Perform source-to-target mapping validations
Identify, document and execute unit tests and scripts
Peer and lead code reviews according to the checklist and document results
Provide ongoing proactive technical support for ETL and data warehouse systems to ensure business continuity
Perform additional duties as needed to support Health Plan operations and department goals

Requirements

Four (4) years of relevant work experience
Experience and knowledge in logical, rational, dimensional, and physical data modeling
Background in database systems with strong SQL
Experience with Orchestration tools, Azure DevOps, and CI/CD
Intermediate experience with the following tools and technologies:
- Azure Data Catalogue / Purview
- Azure Cloud
- Databricks
- Power BI Dataflows
- Power Query
- Azure Cosmos
- Azure Monitor
- PowerShell
- Python
Development experience using PySpark, Spark, Hadoop, Kubernetes, and RDMIS is highly desired
Bachelor's degree from an accredited institution required
Master’s degree from an accredited institution preferred
Azure Data Engineering Certification is preferred

Technologies

SQL Server Integration Services (SSIS)
Azure Data Factory
Synapse Analytics
Az Data Bricks
PySpark
SQL
T-SQL
Power BI Dataflows
Power Query
Azure Cosmos
Azure Monitor
PowerShell
Python
Azure Databricks
Databricks
Spark
Hadoop
Kubernetes
RDMIS
MS SQL Server
Azure Data Catalogue
Purview
Azure Cloud
Azure DevOps

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