12 months ago
USA (city not specified)Senior

Base Salary

$119k - $157k/yr

Responsibilities

  • Design, develop, and implement reliable data solutions based on business requirements.
  • Lead data transformation design and development and contribute to data architecture.
  • Build and optimize data pipelines, pipeline architectures, data sets, and data warehouse solutions.
  • Create and maintain data flow diagrams, process maps, technical design documents, and ERDs.
  • Develop algorithms, functions, scripts, services, and automation for data processing and delivery.
  • Design and deploy enterprise-scale cloud infrastructure and Azure implementations.
  • Integrate data from multiple sources, including external APIs, and improve data quality.
  • Develop database design and development best practices for relational and non-relational systems.
  • Conduct code reviews, root cause analyses, and technical research for complex development and integration problems.
  • Identify process improvements, automate manual processes, and redesign infrastructure for scalability.
  • Work under minimal supervision, exercise independent judgment, and serve as a subject matter expert.
  • Mentor Level I and II engineers and collaborate with management, colleagues, and domain units.
  • Ensure solutions meet security, performance, quality, and business requirements.

Requirements

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or another quantitative discipline from an accredited institution.
  • At least eight years of experience provisioning, configuring, and developing solutions with Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Azure Synapse, and Cosmos DB.
  • At least eight years implementing software development methodologies and working with relational databases.
  • At least five years of hands-on experience with cloud orchestration, automation tools, and CI/CD pipeline creation.
  • Experience building and optimizing big data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes.
  • Experience with source control and management tools such as Azure DevOps and GitLab/GitHub.
  • Experience transforming requirements into design concepts and ERDs using Visio or similar tools.
  • Strong knowledge of DevOps, Python or Java or JSON, data privacy practices and laws, SDLC models, MongoDB and other NoSQL systems, Microsoft SQL Server, message queuing, stream processing, and scalable big-data stores.
  • HL7/FHIR knowledge is a plus.

Benefits

  • Hybrid schedule with remote work on Monday and Friday and required onsite work Tuesday through Thursday.
  • Competitive salary of USD $118,601.60-$157,144.00 per year.
  • CalPERS retirement and a 457(b) option with contribution match.
  • Medical, dental, and vision insurance.
  • Paid life insurance and short-term and long-term disability options.
  • On-site state-of-the-art fitness center, wellness programs, and flexible spending accounts for health care and childcare.
  • Pet care insurance, career advancement opportunities, and professional development.

Tech Stack

Apache SparkAzureC#JavaMicrosoft SQL ServerMongoDBPython

Categories

Data Engineering
Inland Empire Health Plan

About Inland Empire Health Plan

1,001-5,000 employees

Inland Empire Health Plan is a nonprofit, government-sponsored managed care health plan that administers Medi-Cal and Medicare-Medicaid benefits for residents of Riverside and San Bernardino counties. It contracts with a regional provider network and offers HMO coverage, care management, and member services; more than 1.5 million people are enrolled. Founded in 1995 and headquartered in Rancho Cucamonga, CA, it operates as a public plan serving California’s Inland Empire.

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