Health Data Analytics Engineer

SmarterDx is a healthcare technology company focused on transforming clinical care into payment through AI solutions. They are seeking a Health Data Analytics Engineer to develop and maintain data models for healthcare analytics products, ensuring data integration and quality for critical business functions.

Responsibilities:

• Designing, developing, and maintaining dbt data models that support our healthcare analytics products
• Integrating and transforming customer data to conform to our data specifications and standards
• Collaborating with cross-functional teams to translate data and business requirements into effective data models
• Configuring and improving data pipelines that integrate and connect the data models
• Conducting QA and testing on data models to ensure data accuracy, reliability, and performance
• Applying industry standards and best practices around data modeling, testing, and data pipelining

Requirements:

• 3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data
• Highly well-versed in SQL and ETL processes, significant experience in dbt is a must
• Experience in a general purpose programming language (Python, Java, Scala, Ruby, etc.)
• Strong experience in data modeling and their implementation in production data pipelines
• Comfortable with the essentials of data orchestration
• Detail oriented, passionate about healthcare data and its use in making impactful contributions improving the healthcare system
• Find fulfillment and satisfaction in digging into complex data, uncovering subtle patterns, and implementing business logic to create resilient data models
• Own and take full responsibility for tasks from initiation to completion
• Demonstrate versatility and proficiency in navigating complex processes
• Approach ambiguity with an open mind, experiment with potential solutions, but know when to seek assistance
• Employ pragmatism in selecting the most straightforward and effective solution for tasks
• Welcome and provide constructive advice, prioritizing positive outcomes for the entire team
• Thrive in a collaborative team environment
• Experience with data pipelines in AWS
• Experience working with analytical databases; has a firm understanding of the differences between operational and analytical databases
• Worked on implementations/new client onboarding
• Experience committing code to and reviewing code in GitHub
• Experience working with established BI tools (e.g. Power BI, Tableau, Hex, etc)