Data Engineer Iii

IEHP Foundation

US
Base: $118,601.60 - $157,144.00 pyr; bonus/equity:...
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Design and development of iehp data solutions
Lead the design and development of data transformation
Data architecture
** The IEHP Foundation is seeking a Data Engineer III to design and develop data solutions that enhance operational efficiency and meet business needs. This hybrid position requires extensive experience in Azure technologies and data architecture, offering competitive benefits and opportunities for professional growth. **

Job Summary

  • The Data Engineer III is responsible for the design, planning and development of IEHP data solutions, leading the design and development of data transformation and data architecture.
  • Key responsibilities include designing and implementing reliable data solutions, maintaining process design artifacts, finding trends in data sets, developing algorithms, and creating optimal data pipeline architecture.
  • IEHP offers competitive salary, hybrid schedule, CalPERS retirement, state-of-the-art fitness center, comprehensive medical insurance, life/disability options, career advancement, and wellness programs.

Matching Summary

Match Score: 75

** The IEHP Foundation is seeking a Data Engineer III to design and develop data solutions that enhance operational efficiency and meet business needs. This hybrid position requires extensive experience in Azure technologies and data architecture, offering competitive benefits and opportunities for professional growth. **

Salary

Base: $118,601.60 - $157,144.00 /Yr; Bonus/Equity: Not specified; Benefits: Medical Insurance with Dental and Vision, Life, short-term, and long-term disability options, Career advancement opportunities, professional development, Wellness programs, Flexible Spending Account, CalPERS retirement, 457(b) option with a contribution match, Paid life insurance, Pet care insurance

Skills & Requirements

Must-have

  • design and development of IEHP data solutions
  • lead the design and development of data transformation
  • data architecture
  • coding standards
  • efficient and high-quality solutions
  • data pipeline architecture
  • cloud orchestration and automation tools
  • CI/CD pipeline creation
  • Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Azure Synapse and Cosmos DB
  • REST web services, C#.NET, TSQL, XML, JSON
  • Java, Json, Python, and Spark
  • Azure implementations

Nice-to-have

  • healing and inspiring the human spirit
  • authentic experience
  • lead by example
  • collaboration with inter-departments
  • strong peer relationships
  • HL7/ FHIR is a plus
  • applicable data privacy practices and laws
  • common SDLC models
  • non-relational database (NoSQL) designs
  • message queuing, stream processing
  • highly scalable ‘big data’ data stores
  • quality program goals (HEDIS, CAHPS, NCQA)

Key Requirements

  • 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
  • Minimum of five (5) years of hands-on experience with cloud orchestration and automation tools and CI/CD pipeline creation
  • Bachelor’s degree in a quantitative discipline such as Computer Science, Statistics, Mathematics or Engineering from an accredited institution

Work Rights

Not specified

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