Senior Software Engineer, Data Engineering

7+ years of software engineering experience, with 3+ years focused on data engineering Deep experience with cloud data platforms, such as Snowflake and BigQuery Proficiency with data pipeline orchestration tools (Airflow, Dagster, or similar) Strong SQL skills and experience with data modeling and warehouse design Experience with data transformation tools such as dbt or Spark Demonstrated ability to lead technical initiatives and influence without direct authority Excellent communication skills and ability to translate complex technical concepts for varied audiences Experience with Python for data processing and automation Familiarity with streaming data architectures and real-time processing Experience building and scaling data quality and observability platforms Track record of improving data accessibility and self-service analytics capabilities

Design, build, and maintain scalable data pipelines and ETL/ELT workflows Help to own and improve our data warehouse architecture in Snowflake Implement data modeling best practices to support analytics and reporting needs Drive data quality initiatives, including validation, testing, and monitoring frameworks Partner with product engineering teams to design data contracts and integrate data capture into applications Work closely with Analytics and Business Intelligence teams to understand reporting needs and deliver reliable data products Collaborate with Security and Compliance to implement data governance and privacy best practices Partner with Product and Engineering leadership on data strategy and technical roadmaps Collaborate with Clinicians and Clinical Researchers to ensure they have the data available to deliver on their projects and support patient care Work with our Analysts to decrease latency, improve testability and integrate with de-identification providers to meet our goals and regulatory needs Mentor and coach more junior data engineers, fostering growth and technical development Establish and document data engineering standards, patterns, and best practices Champion a culture of data quality, automation, and continuous improvement