Data Engineer II

Inland Empire Health Plans; Rancho Cucamonga (CA); Hybrid; USD 90,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Hybrid schedule

State of the art fitness center on-site

Medical Insurance with Dental and Vision

Career advancement opportunities

Wellness programs

Flexible Spending Account

CalPERS retirement

Paid life insurance for employees

Pet care insurance

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

What you can expect!

Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an authentic experience!

The Data Engineer II assists in the implementation of methods to improve data reliability and quality. This role is responsible for combining raw information from different sources to create consistent and machine-readable formats. The Data Engineer II must also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. The Data Engineer II will focus on data accessibility, which will enable the organization to utilize data for performance evaluation and optimization. The data Engineer II is also responsible for managing the entire back-end development life cycle for the company's enterprise data warehouse. In this role the incumbent will handle tasks associated with the implementation of ETL procedures, building warehouse databases, database performance management, and dimensional modeling and design of the table structures.

Commitment to Quality: The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.

Perks

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

• 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

Education & Requirements

• Four (4) years of relevant work experience. Experience and knowledge in logical, rational, dimensional, and physical data modeling. Background in database systems along with a strong knowledge of 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

Key Qualifications

• Multi-server environment knowledge such as linked servers, data replication, backup/restore with MS SQL Server 2008+
• Knowledge of applicable data privacy practices and laws
• Highly skilled in developing and optimizing T-SQL (DDL, DML, DCL) queries, stored procedures, functions, and views for various applications that involve numerous database tables and complex business logic
• Good written and oral communication skills
• Strong technical documentation skills
• Good interpersonal skills
• Highly self-motivated and directed
• Keen attention to detail
• Proven analytical and problem-solving abilities
• Ability to effectively prioritize and execute tasks in a high-pressure environment

Start your journey towards a thriving future with IEHP and apply TODAY!