Data Engineer III jobs in United States
cer-icon
Apply on Employer Site
company-logo

IEHP · 1 day ago

Data Engineer III

IEHP is dedicated to healing and inspiring the human spirit and is looking for a Data Engineer III to lead the design and development of data solutions. The role involves creating reliable data architectures, optimizing data delivery, and mentoring junior engineers while ensuring compliance with company standards.

Health CareHealth DiagnosticsHospital
check
Comp. & Benefits

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

Qualification

Azure Data LakeAzure Data FactoryData WarehousePythonDevOpsNoSQLMS SQL ServerCI/CDJavaJSONHL7/FHIRAgileScrumKanbanMongoDBMessage queuingStream processing

Required

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
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

Benefits

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

Company

With a mission to heal and inspire the human spirit, Inland Empire Health Plan (IEHP) is one of the top 10 largest Medicaid health plans, the largest not-for-profit Medicare-Medicaid public health plan in the country, and for the fourth year in a row, certified as A Great Place To Work®.

Funding

Current Stage
Late Stage
Total Funding
$32.38M
2021-02-04Grant· $32.38M

Leadership Team

leader-logo
Susie White
Chief Operating Officer
linkedin
leader-logo
Katherine A. Kang
Vice President, HR Strategic Initiatives and Business Partners
linkedin
Company data provided by crunchbase