Data Engineer II

Talentify; Rancho Cucamonga (CA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Hybrid schedule

On-site fitness center

Medical, dental, and vision insurance

Life and disability coverage

Professional development opportunities

Wellness programs

Job summary

IEHP is seeking a Data Engineer II to enhance data reliability, quality, and accessibility. You will integrate data from multiple sources into canonical formats and build architectures enabling extraction, transformation, and modeling for analytics programs.

Core duties include back-end data warehouse development, ETL processes, and dimensional modelling. The role emphasizes data accessibility for performance evaluation and optimization, ensuring scalable, consistent data structures and robust

Qualifications

• 4 years of relevant work experience in data engineering or related field.
• Experience with logical, rational, dimensional, and physical data modeling.
• Strong SQL knowledge and experience with MS SQL Server.
• Experience with orchestration tools and CI/CD pipelines; Azure DevOps preferred.

Responsibilities

• Assist in improving data reliability and quality across sources.
• Combine raw data into consistent, machine-readable formats.
• Develop and test architectures for data extraction and transformation for predictive or prescriptive modeling.
• Manage back-end development life cycle for the enterprise data warehouse, including ETL, warehouse design, and performance tuning.

Skills

SQL

PySpark

Spark

Hadoop

Kubernetes

Python

PowerShell

CI/CD

Azure DevOps

Databricks

Power BI

Azure Cosmos

Azure Monitor

Power Query

Databases

RDMIS

Education

Bachelor's degree

Master’s degree (preferred)

Azure Data Engineering Certification (preferred)

Tools

Azure Data Catalogue / Purview

Azure Cloud

Databricks

Power BI Dataflows

Power Query

Azure Cosmos

Azure Monitor

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