The Data Engineer at Carenet Health is responsible for building and maintaining the data solutions that power our business intelligence and analytics initiatives. This role focuses on designing reliable data pipelines, integrating data from multiple sources, and ensuring accuracy, security, and accessibility across our enterprise data platforms. By transforming raw information into structured, high-quality datasets, the Data Engineer enables teams across Carenet Health to make informed, data-driven decisions that improve healthcare experiences and outcomes.
At Carenet Health, we’re relentlessly focused on delivering clinically driven, consumer-centric engagement solutions rooted in powerful, one-on-one connections. One in five (65 million) Americans has access to our services, and we connect with 70,000 consumers daily about their health and wellness, coverage and benefits, care coordination and more.
Successful data engineer to actively participate in the design, development, and operation of a modern data platform that supports Carenet Health’s business strategy and delivers trusted data-as-a-service capabilities with a focus on data quality, reliability, and ease of use.
SOME OF WHAT YOU WILL DO:
Partner with BI teams, analysts, and business stakeholders to design, build, and maintain Carenet Health’s enterprise data warehouse.
Ingest and integrate data from both on-premises and cloud-based systems.
Build, monitor, maintain, and troubleshoot complex data pipelines.
Provision and manage infrastructure to support scalable and cost-effective data operations.
Design and implement data marts, including DDL generation.
Optimize data architectures for performance, security, and cost efficiency.
Analyze raw data and create structured datasets for analytics and reporting.
Enhance data quality, consistency, and efficiency through automation and best practices.
Provide technical leadership in discussions around pipeline design, optimization, and implementation.