Data Engineer II

Healthcare technology company building a collaborative platform to improve patient outcomes through data-driven insights.
Data
Mid-Level Software Engineer
Remote
2+ years of experience
Healthcare

Description For Data Engineer II

PatientIQ is at the forefront of healthcare transformation, building the largest platform for healthcare providers, industry partners, and researchers to collaborate on improving patient outcomes. As a Data Engineer II, you'll be a core member of the Data Engineering department, working in a dynamic environment that collaborates across Engineering, Product, Customer Success, and Marketing teams. The role focuses on handling large, complex datasets, building scalable data pipelines, and ensuring data quality throughout ETL processes. You'll work with cutting-edge technologies in cloud computing and data warehousing, making impactful contributions that directly influence healthcare outcomes. The company values diligence, curiosity, and initiative, offering a flexible work environment with comprehensive benefits and the opportunity to work with a world-class team. This position is perfect for someone passionate about using data to drive positive healthcare outcomes while working in a mission-driven organization that encourages innovation and challenging the status quo.

Last updated 14 days ago

Responsibilities For Data Engineer II

  • Clean and process large, complex datasets using tools such as SQL and Python
  • Migrate client data into PatientIQ's platform per established service level agreements (SLA)
  • Develop rigorous data quality assurance checks throughout the ETL process
  • Design, develop, maintain, and streamline scalable data pipelines to support healthcare data analysis
  • Work closely with data analysts to understand their data needs and develop solutions
  • Monitor and optimize the performance of data pipelines and systems
  • Collaborate with other teams to integrate data from multiple sources

Requirements For Data Engineer II

Python
  • BS/MS in Computer Science, Engineering, Mathematics, or a related field
  • 2+ years of experience as a Data Engineer
  • Experience designing, building, and maintaining ETL infrastructure in a production setting
  • Experience working with large, complex datasets
  • Deep knowledge of SQL and at least one programming language (e.g., Python, Java, Ruby, etc.)
  • Experience with Data Warehousing (Redshift, BigQuery, Snowflake)
  • Experience with cloud technologies such as AWS, Google Cloud Platform, or Azure
  • Experience with version control systems (e.g., Git) and writing reusable and extensible code
  • Highly self-motivated with strong analytical problem-solving skills and attention to detail

Benefits For Data Engineer II

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Top-notch health, dental and vision insurance
  • 401K
  • Flexible Time Off
  • Mission Driven environment
  • True Idea Meritocracy
  • World-Class Team

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