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

Solid badges = required, outlined = preferred

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 SecurityProtected Health InformationFintechHealthcare

Benefits

  • 401k
  • Dental
  • Employee Assistance Programs
  • Flexible PTO
  • Gym/Wellness
  • Health Insurance
  • Learning Budget
  • Parental Leave
  • Remote Stipend
  • Vision

Culture

Detail-OrientedAgile/ScrumCollaborative SpaceShared OwnershipSelf-StarterImpact-OrientedCross-Functional TeamsCode Review CultureTransparent Leadership

Requirements

Regions: Us

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