Remote Health Data Analytics Engineer

Description:

• 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.
• You will be responsible for designing, developing, and maintaining dbt data models that support our healthcare analytics products.
• You will integrate and transform customer data to conform to our data specifications and pipelines.
• Collaborating with cross-functional teams to understand data requirements and translate them into effective data models is essential.
• You will configure and improve data pipelines that integrate and connect the data models.
• Conducting QA and testing on data models to ensure data accuracy, reliability, and performance is a key responsibility.
• You will apply 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 is expected.
• In this role, you will spend 60% of your time constructing and optimizing dbt data models, 30% performing QA and testing on data models and data pipelines, and 10% configuring and improving pipelines.

Requirements:

• You must have 3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data.
• You should be very well-versed in SQL and ETL processes, with significant experience in dbt being a must.
• Experience in a general-purpose programming language such as Python, Java, Scala, or Ruby is required.
• Strong experience in data modeling and their implementation in production data pipelines is necessary.
• You should be comfortable with the essentials of data orchestration.
• As a person, you should be detail-oriented and passionate about healthcare data and its use in making impactful contributions to improving the healthcare system.
• You should find fulfillment in digging into complex data, uncovering subtle patterns, and implementing business logic to create resilient data models.
• You must own and take full responsibility for tasks from initiation to completion.
• Demonstrating versatility and proficiency in navigating complex processes is important.
• You should approach ambiguity with an open mind, experiment with potential solutions, and know when to seek assistance.
• Employing pragmatism in selecting the most straightforward and effective solution for tasks is essential.
• You should welcome and provide constructive advice, prioritizing positive outcomes for the entire team.
• Thriving in a collaborative team environment is a must.

Benefits:

• You will receive medical, dental, and vision benefits.
• A 401k plan is offered.
• Free One Medical membership is included.
• Parental leave is provided.
• The position is remote-first.
• There is minimal bureaucracy within the organization.
• You will work with incredible teammates.