Health Data Analytics Engineer

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 analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. 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 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 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.

Nice To Haves

• Has experience with data pipelines in AWS
• Has experience working with analytical databases; has a firm understanding of the differences between operational and analytical databases
• Has worked on implementations/new client onboarding
• Has experience committing code to and reviewing code in GitHub 

Our Tech Stack

• Databases: Snowflake (primary), PostgreSQL
• 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

$135 to 170k base + equity incentives