Top Remote Healthtech Data Engineering Jobs in Chicago, IL

The Senior Database Developer will design, optimize complex T-SQL solutions for large databases, ensuring performance and compliance in cloud-native architectures while leading documentation and best practices.

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.

The Solutions Architect leads client integration of Cedar's platform, ensuring successful project delivery through client communication and technical expertise while managing complex data structures and operational workflows.

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

The Senior Data Engineer will design and implement data pipelines, optimize performance, ensure data quality, and collaborate with teams for analytics and reporting.

Deliver and support inbound/outbound EDI (ANSI X12-834) and claims file implementations, perform EDI mapping and testing, monitor file processing, troubleshoot data discrepancies, coordinate cross-functional stakeholders, and maintain data integration documentation and quality controls.

The Lead Data Engineer will optimize data pipelines, collaborate with teams, and maintain the analytics platform in a changing environment to deliver solutions that meet business needs.

Lead acquisition, cleaning, validation, storage and protection of datasets to support reporting and analysis. Design and execute data architectures, policies and ETL pipelines (SSIS, ADF) using cloud platforms (Azure Synapse, Snowflake, Databricks). Deliver dimensional models, visualizations, and lifecycle governance to make complex data accessible and drive business insights.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

The Database Architect is responsible for designing and evolving cloud data architecture, managing data migration, ensuring data models align with application architecture, and establishing security and governance standards.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.