Role

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.

SmarterDx builds clinical AI that empowers hospitals to achieve 100% chart accuracy for revenue integrity. Our solution helps hospitals tell the most accurate and complete story of the patient and the care that was delivered, which helps them recover millions in earned revenue and improve quality of care scores. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers. 

**This role is fully remote within the US**

What You’ll Do

• Designing, developing, and maintaining dbt data models that support our healthcare analytics products.
• Integrating and transforming customer data to conform our data specifications and pipelines
• Collaborating with cross-functional teams to understand data requirements and translate them 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 data engineers and backend engineers to help investigate and resolve data related issues.

In this role, you will spend time on:

• 60% Constructing and optimizing dbt data models for our products.
• 30% Performing QA and testing on data models and data pipelines.
• 10% Configuring and improving pipelines and ensuring seamless connectivity between models.

What You Bring

• You have 3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data.
• You are very well-versed in SQL and ETL processes, significant experience in dbt is a must
• You have experience in a general purpose programming language (Python, Java, Scala, Ruby, etc.)
• You have strong experience in data modeling and their implementation in production  data pipelines.
• You are comfortable with the essentials of data orchestration

As a person, you:

• Are 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.

Our Tech Stack

• Databases: Snowflake (primary), DynamoDB
• Cloud Infrastructure: We’re an AWS shop and we use many AWS managed services, including: S3, MWAA, Sagemaker
• Tools: dbt, Fivetran, Airflow
• Languages: SQL, Python/Jinja

Compensation

$140-170k base + equity