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IT Data Engineer
Consumer Direct Care NetworkUS - Remote, United StatesRemotefull_timeVerifiedPosted 23 Jun 2026
💰 $124,000/yr($117,000/yr – $124,000/yr)
About the role
General information
Date
Tuesday, June 23, 2026
Location
US - Remote
Remote/Hybrid
Yes
Position Level
Individual Contributor III
Employment Type
Full time
Career Field
Information Technology
Pay Type
Annually
Pay Range
$ 117,000 - $ 124,000
$ 117,000 - $ 124,000
Description & Requirements
Culture Vision at Consumer Direct Care Network
At CDCN, we strive to create a workplace where everyone is supported and motivated to be their best; we collaborate on shared goals and celebrate our accomplishments.
WE WELCOME YOU INTO A GROWING COMPANY
Consumer Direct Care Network is all about caring for people. Care is at our core, and we strive to live up to it every day. We provide services in 14 states across the USA, and our programs grow every year. We specialize in home and community-based services that support individuals with disabilities and older adults so they can remain in their homes and communities.
JOB SUMMARY
IT Data Engineer III is a senior-level position on the Enterprise Data team, responsible for leading the design, development, and support of complex enterprise data solutions across modern cloud platforms. This role plays a key leadership role in optimizing CDCN's data systems and processes for performance, scalability, and reliability while advancing our technical capabilities with cloud-native technologies. The IT Data Engineer III serves as a technical expert and mentor, guides ad hoc teams, and leads efforts to improve data workflows, architecture, and integration across the organization. This position requires deep technical expertise in Azure data platforms including Fabric and Synapse Analytics, strong collaboration skills, and the ability to communicate effectively with both technical and non-technical stakeholders.
JOB DUTIES
- Lead initiatives to design, develop, and maintain enterprise data warehouse systems and data integration pipelines used for analysis and reporting, leveraging Azure Fabric, Azure Synapse Analytics, and related Azure data platform technologies.
- Design and implement scalable ETL/ELT (extract, transform, load) solutions across enterprise systems, leveraging advanced data engineering tools and technologies including Azure Data Fac
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