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HomeCompaniesCareers Iehp Icims ComData Engineer III

Data Engineer III

Careers Iehp Icims Com · UNAVAILABLE, CA, US · Remote · Active · $118,602–$157,144 / year · iCIMS

Job facts

FieldValue
CompanyCareers Iehp Icims Com
TitleData Engineer III
Normalized title-
Department / teamInformation Technology
LocationUNAVAILABLE, CA, United States
Work modelRemote / Remote
Employment typeFull Time
Salary$118,602–$157,144 / year
Statusactive
ATS provideriCIMS
Posted / first seen2025-11-14 / 2026-05-31
Changed / last seen2026-06-01 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Careers Iehp Icims Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in UNAVAILABLE.Open
Department jobsActive postings in Information Technology.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCareers Iehp Icims Com
Source8a078408-e43b-4198-9bcd-8126639d38db
ATS provideriCIMS

Description

Overview 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: 1. Design, develop and implement reliable and effective data solutions based on business requirements.2. Maintain process design artifacts like data flow diagrams, end user process maps and technical design documents.3. Find trends in data sets and develop algorithms to help make raw data more useful to IEHP.4. Create and maintain optimal data pipeline architecture that meet security standards.5. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.6. Develop best practices for database design and development activities.7. Create complex functions, scripts, and services to support the Data Services team.8. Ensure all data solutions meet company and performance requirements.9. Work under minimal supervision with wide latitude for independent judgment.10. Conduct code reviews.11. Direct and mentor some level I and II engineers.12. Serve as a subject matter expert in key business projects.13. Recommend improvements to existing Data Services processes as necessary.14. Provide detailed analysis of data issues; data mapping; and the process for automation and enhancement of data quality.15. Analyze and integrate new technologies with existing applications to improve the design and functionality of applications.16. Maintain proficient programming skills in REST web services, C#.NET, TSQL, XML, JSON, and other relevant languages and/or frameworks.17. Develop and automate solutions to consume data from multiple data sources, including external API18. Program and modify code in languages like Java, Json, Python, and Spark to support and implement Data Warehouse solutions.19. Design and deploy enterprise-scale cloud infrastructure solutions.20. Research, analyze, recommend and select technical approaches for solving difficult and meaningful development and integration problems.21. Work closely with the Data and Engineering teams to design best in class Azure implementations.22. 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. Additional Benefits Perks IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more. 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 Qualifications 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 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. Start your journey towards a thriving future with IEHP and apply TODAY ! Work Model Location Hybrid Work Schedule (Monday & Friday remote, Tuesday, Wednesday, Thursday onsite required) Pay Range USD $118,601.60 - USD $157,144.00 /Yr.

Full job record

Job ID8d59bea33e9538bc09fe5c6bf9842543cc34453c
Org IDa4cfa4de-9519-4013-b4ba-980e00e030be
Source ID8a078408-e43b-4198-9bcd-8126639d38db
Board ID8a078408-e43b-4198-9bcd-8126639d38db
Providericims
Provider Job Key2702
TitleData Engineer III
Normalized Title
Statusactive
Activeyes
Location TextUNAVAILABLE, CA, US
DepartmentInformation Technology
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CityUNAVAILABLE
Salary RawOverview 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: 1. Design, develop and implement reliable and effective data solutions based on business requirements.2. Maintain process design artifacts like data flow diagrams, end user process maps and technical design documents.3. Find trends in data sets and develop algorithms to help make raw data more useful to IEHP.4. Create and maintain optimal data pipeline architecture that meet security standards.5. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.6. Develop best practices for database design and development activities.7. Create complex functions, scripts, and services to support the Data Services team.8. Ensure all data solutions meet company and performance requirements.9. Work under minimal supervision with wide latitude for independent judgment.10. Conduct code reviews.11. Direct and mentor some level I and II engineers.12. Serve as a subject matter expert in key business projects.13. Recommend improvements to existing Data Services processes as necessary.14. Provide detailed analysis of data issues; data mapping; and the process for automation and enhancement of data quality.15. Analyze and integrate new technologies with existing applications to improve the design and functionality of applications.16. Maintain proficient programming skills in REST web services, C#.NET, TSQL, XML, JSON, and other relevant languages and/or frameworks.17. Develop and automate solutions to consume data from multiple data sources, including external API18. Program and modify code in languages like Java, Json, Python, and Spark to support and implement Data Warehouse solutions.19. Design and deploy enterprise-scale cloud infrastructure solutions.20. Research, analyze, recommend and select technical approaches for solving difficult and meaningful development and integration problems.21. Work closely with the Data and Engineering teams to design best in class Azure implementations.22. 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. Additional Benefits Perks IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more. 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 Qualifications 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 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. Start your journey towards a thriving future with IEHP and apply TODAY ! Work Model Location Hybrid Work Schedule (Monday & Friday remote, Tuesday, Wednesday, Thursday onsite required) Pay Range USD $118,601.60 - USD $157,144.00 /Yr.
Salary Min118,601.6
Salary Max157,144
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://careers-iehp.icims.com/jobs/2702/data-engineer-iii/job
Apply URLhttps://careers-iehp.icims.com/jobs/2702/data-engineer-iii/job
First Seen At2026-05-31 18:43:46Z
Last Seen At2026-06-06 08:28:24Z
Last Checked At2026-06-06 08:28:24Z
Last Changed At2026-06-01 13:47:21Z
Inactive At
Source Posted At2025-11-14 05:00:00Z
Source Updated At2026-05-04 23:23:45Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=icims/board=careers-iehp.icims.com/date=2026-06-06/2026-06-06T08-28-22-892Z-7049b87f40c0d4b82a4fe011956eab82fe5d210fce62033df028be0098700971.json
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