Health Data Analytics Engineer

SmarterDx • New York City, NY

66d • $140,000 - $170,000

About The Position

We are seeking a Health Data Analytics Engineer to join our team, focusing on constructing dbt data models for our healthcare analytics products and configuring the data pipelines that connect these models in production. In this role, you will play a crucial part in developing, maintaining and testing data models that serve critical product and business functions for our company. You will work as part of our data engineering team to ensure seamless data integration, transformation, and validation according to our standards. This position offers the opportunity to work on cutting-edge data modeling techniques, improve data processes, and contribute to the success of our healthcare AI products. This role is fully remote within the US.

Requirements

• 3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data.
• Very 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.

Nice To Haves

• Experience with data pipelines in AWS.
• Experience working with analytical databases; 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.

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.
• Participating in a rota with other engineers to help investigate and resolve data related issues.

What This Job Offers

• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 51-100 employees