• BS/MS in Computer Science, Engineering, Mathematics, or a related field
• 4+ 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 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

Desirable

• We’re looking for a Senior Data Engineer to ensure PatientIQ remains at the forefront of using data to drive positive healthcare outcomes
• As a core member of the Data Engineering department, you will be in a dynamic environment that works cross-functionally with all other departments, such as Engineering, Product, Customer Success, and Marketing
• You will work on a broad array of problems that rely on data to derive insights for our business and customers
• We heavily value diligence, curiosity, and initiative, which are key to unlocking the value of PatientIQ's data for our users and decision-making. Your work will be impactful across the entire organization
• 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 to meet those needs
• Monitor and optimize the performance of data pipelines and systems
• Collaborate with other teams to integrate data from multiple sources