Senior Software Engineer, Data Platforms for Healthcare

Flatiron Health, Inc.; London (KY); On-site; USD 140,000 - 190,000; Full time

Job summary

Flatiron Health, Inc. is seeking a Senior Software Engineer to join the Healthcare Data Products team.

You will own the lifecycle of high-scale data applications, from Snowflake data lakes to customer-facing interfaces, building robust, compliant systems that empower clients to derive actionable insights from cancer data. You will design and maintain data pipelines with Python, PySpark, Airflow, and Prefect, and help transition delivery models toward Snowflake-native sharing.

Qualifications

• 4+ years of professional experience building scalable, production-grade software.
• Proficient in Python and relational databases; Snowflake preferred.
• Strong ability to explain complex data flows to non-technical stakeholders.
• Mentor Jr engineers and promote best practices in data engineering.
• Degree in Computer Science or related field (or equivalent experience).

Responsibilities

• Architect and scale data pipelines to ingest data from hundreds of sources into Snowflake.
• Modernize data sharing and Parquet extraction for high performance.
• Own full-stack aspects from Python backends to React frontends for EHR-related features.
• Improve tooling with Terraform, Docker, and GitLab CI/CD for IaC and observability.
• Leverage AI-assisted development tools to accelerate oncology data challenges.
• Collaborate with oncologists and data scientists to translate requirements into technical solutions.

Skills

Python

Data pipelines

SQL Snowflake

Mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Airflow

Prefect

Terraform

Docker

GitLab CI/CD

React

AWS (S3/EMR/EC2)

Job description

Flatiron Health, Inc. is seeking a Senior Software Engineer to join the Healthcare Data Products team.

You will own the lifecycle of high-scale data applications, from Snowflake data lakes to customer-facing interfaces, building robust, compliant systems that empower clients to derive actionable insights from cancer data. You will design and maintain data pipelines with Python, PySpark, Airflow, and Prefect, and help transition delivery models toward Snowflake-native sharing.