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Data Engineer III

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Inland Empire Health Plans
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: California

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!

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.

Key Responsibilities:
  • Design, develop and implement reliable and effective data solutions based on business requirements.
  • Maintain process design artifacts like data flow diagrams, end user process maps and technical design documents.
  • Find trends in data sets and develop algorithms to help make raw data more useful to IEHP.
  • Create and maintain optimal data pipeline architecture that meet security standards.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Develop best practices for database design and development activities.
  • Create complex functions, scripts, and services to support the Data Services team.
  • Ensure all data solutions meet company and performance requirements.
  • Work under minimal supervision with wide latitude for independent judgment.
  • Conduct code reviews.
  • Direct and mentor some level I and II engineers.
  • Serve as a subject matter expert in key business projects.
  • Recommend improvements to existing Data Services processes as necessary.
  • Provide detailed analysis of data issues; data mapping; and the process for automation and enhancement of data quality.
  • Analyze and integrate new technologies with existing applications to improve the design and functionality of applications.
  • Maintain proficient programming skills in REST web services, C#.NET, TSQL, XML, JSON, and other relevant languages and/or frameworks.
  • Develop and automate solutions to consume data from multiple data sources, including external API.
  • Program and modify code in languages like Java, Json, Python, and Spark to support and implement Data Warehouse solutions.
  • Design and deploy enterprise-scale cloud infrastructure solutions.
  • Research, analyze, recommend and select technical approaches for solving difficult and meaningful development and integration problems.
  • Work closely with the Data and Engineering teams to design best in class Azure implementations.
  • Clearly and regularly communicate with management, colleagues, and domain units.

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
  • Competitive salary.
  • Hybrid schedule.
  • CalPERS retirement.
  • 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 & 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 Dev Ops and Gitlab/Git Hub. Experience transforming requirements into Design Concepts and…
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