Senior Data Engineer
XealthData Engineering Expertise: 5+ years of professional experience building production-grade data pipelines and applications, with expert proficiency in Python, PySpark and SQL. Familiarity with JavaScript would be a plus. You must have solid hands-on experience working with modern massively parallel data processing systems.RemoteHybridfull_timesenior
$155,000 – $225,000 USD
Tech Stack
Responsibilities
- Design, build, and scale services for Xealth’s Analytics and Reporting Capabilities, applying computer science fundamentals to solve complex problems in distributed systems and data pipelines.
- Execute expert-level Data Modeling and Design for analytic workloads, utilizing dimensional modeling and denormalization techniques.
- Design, build, and optimize high-volume, real-time Streaming Data Pipelines using PySpark and Databricks environments, ensuring scalability and cost-efficiency.
- Write comprehensive unit and integration tests for data pipelines to ensure code quality and production reliability.
- Partner with product managers and EHR specialists to translate clinical user behaviors into rich, analytical datasets, and contribute to code reviews and system design discussions.
Soft Skills
Data ModelingCross-Functional CollaborationTechnical LeadershipSystem DesignData Security
Benefits
- Parental Leave
- Health Insurance
- Dental
- Vision
- Remote Stipend
- Learning Budget
- 401k
- Flexible PTO
- Gym/Wellness
- Employee Assistance Programs
Culture
Detail-OrientedAgile/ScrumCollaborative SpaceShared OwnershipSelf-Starter
Requirements
Regions: Us
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About Xealth
Industry: healthtech
Size: small
Xealth is a digital health platform embedded in EHRs, empowering clinicians to prescribe, automate, and measure digital tools to deliver connected, personalized patient care at scale. Now part of Samsung, Xealth is recognized as a leading digital health company.
View company profile →Compensation
Base salary: $155,000 – $225,000 USD
Bonus: annual bonus