Design, develop, and maintain robust, scalable, and secure data pipelines for ingesting, transforming, and validating clinical real-world data (RWD).
Implement software solutions using programming languages (e.g., Python, SQL) and cloud technologies (e.g., AWS).
Collaborate with software/quality engineers/analysts and product managers.
Communicate testing progress, risks, and quality metrics.
Analyze and fix defects identified within applications, services, or data pipelines.
Write SQL, Python, ELT code for querying clinical and genomic data.
Create data marts and perform data transformation and de-identification tasks.
Develop scalable data pipelines and processing workflows using AWS services.
Experience with Apache Airflow for workflow orchestration.
Apply version control (Git), CI/CD pipelines, and agile methodologies.
Support staff recruitment and onboarding, providing mentorship.

BS degree in computer science or comparable program.
12+ years of overall software development experience, preferably building complex data or process management applications.
SQL databases (Postgres, Snowflake, Redshift, Athena), SQL, and ETL.
Excel/Macros, Quicksight and Tableau or similar applications.
AWS services like Redshift and S3.
Software engineering best practices including agile methodologies, code reviews, source management, build processes, testing, and operations.
Proficient with data standards (e.g., CDISC, FHIR) and regulatory requirements (e.g., HIPAA, GDPR).

Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
Free testing for employees and their immediate families.
Fertility care benefits.
Pregnancy and baby bonding leave.
401k benefits.
Commuter benefits.
Generous employee referral program.

Staff Data Engineer

Key skills