Topography Health is seeking a highly skilled and patient-focused Senior Data Engineer to join their dynamic team.
The role involves building and optimizing big data pipelines, architectures, and data sets to improve patient outcomes through innovative clinical research.
A key focus is integrating Electronic Health Records (EHR) using FHIR standards and APIs across various systems.
The Senior Data Engineer will enhance existing integrations without building from scratch, facilitating seamless data flow and contributing to improved patient recruitment and data-driven decision-making in clinical trials.
Collaboration with cross-functional teams, including Data Science, Product, Software Engineering, Clinical Operations, and Business Operations, is essential to ensure robust and efficient data pipelines compliant with HIPAA regulations.
Experience with data pipelining, SQL, Snowflake, and familiarity with tools like Airflow and Metabase is required.
The role offers an opportunity to make a significant impact on patient care and clinical research.
Requirements:
Candidates must have 6+ years of professional work experience in healthcare data engineering.
A minimum of 4+ years of experience with Airflow or other orchestration tools (such as Dagster or Prefect) is required.
Candidates should have 3+ years of experience with relational databases and SQL.
A minimum of 3+ years of experience with cloud-based infrastructure is necessary.
Programming proficiency in Python for at least 3+ years is required.
Candidates must have 3+ years of experience with any type of SQL databases.
A minimum of 3+ years of experience with HIPAA compliance is essential.
Benefits:
The position offers the opportunity to work in a collaborative environment and contribute to scaling data infrastructure.
Employees will have the chance to provide guidance and mentorship to junior data engineers as the team grows.
The role allows for proactive suggestions to improve existing data processes and infrastructure.
Data solutions will be implemented in a cost-effective manner, optimizing for performance and resource utilization.
