Data Engineer III

Hybrid Work Schedule (Monday & Friday remote, Tuesday, Wednesday, Thursday onsite required)*

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!*

Under the direction of the Department Leadership, the Data Engineer III is responsible for the design, planning and development of IEHP data solutions.

The Data Engineer III will lead the design and development of data transformation. This position will be involved in data architecture.

The Data Engineer III is expected to lead by example. In this role the Data Engineer III will follow coding standards throughout all aspects of the solution development to produce efficient and high-quality solutions, in addition to collaboration with, inter-departments to ensure member needs are met while simultaneously building strong peer relationships.

• Experience*
• Minimum of eight (8) years of experience in provisioning, configuring, and developing solutions in Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Azure Synapse and Cosmos DB.
• Eight (8) years implementing software development methodologies.
• Eight (8) years working with relational databases. Experience building and optimizing big data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes. Experience using Source Control and management tools such as Azure DevOps and Gitlab / GitHub.

Experience transforming requirements into Design Concepts and ERDs using Visio and similar tools.

• Of the total eight, a minimum of five (5) years of hands-on experience with cloud orchestration and automation tools and CI / CD pipeline creation is required.
• Bachelor’s degree in a quantitative discipline such as Computer Science, Statistics, Mathematics or Engineering from an accredited institution required.
• Key Qualifications*
• Strong knowledge and understanding in the following areas :
• DevOps, Python or Java or Json, (HL7 / FHIR is a plus)
• Applicable data privacy practices and laws
• common SDLC models (Waterfall, Agile - Scrum and Kanban)
• Practice of DevOps
• Non-relational database (NoSQL) designs using MongoDB and others
• Relational databases like MS SQL Server
• Fluency with at least one scripting or programming language such as Python.
• Message queuing, stream processing, and highly scalable big data’ data stores.

Job Type : Full-time

Pay : $118,601.60 - $157,144.00 per year

Compensation package :

• Bonus opportunities
Experience level :
• 8 years
• 8 years

Schedule :

• 8 hour shift
• Day shift
• Monday to Friday

Education :

Bachelor's (Required)

Experience :

• building Data Warehouses and ETL Pipelines : 8 years (Required)
• Azure Cloud environments and tools : 8 years (Required)
• SQL, SSIS : 8 years (Required)
• healthcare : 2 years (Preferred)

Ability to Commute :

Rancho Cucamonga, CA 91730 (Required)

Ability to Relocate :

Rancho Cucamonga, CA 91730 : Relocate before starting work (Required)

Work Location : Hybrid remote in Rancho Cucamonga, CA 91730