Data Engineer
Core
Design and develop scalable data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data for R&D digital transformation.
Role type
Senior Data Engineer (AI-first organization)
Builds
Data & AI Products serving multiple areas of the business
Domain
Healthcare / R&D / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Cloud-based data platforms (AWS, Snowflake), Analytics engineering (DBT), Job scheduling and orchestration (Airflow), Scripting languages (Python, Shell), SQL and relational databases, DevOps tools (GitHub, GitHub Actions, Terraform), Data structures and algorithms, Data modeling
Preferred skills
Experience with data discovery and modeling
Technologies
AWS, Snowflake, DBT, Airflow, Python, Shell, SQL, GitHub, GitHub Actions, Terraform
Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines; Structure and provision data to support modeling and data discovery; Design, develop, and deploy APIs and data feeds; Optimize data workflows for high performance and reliability; Oversee and support junior engineers with testing requirements; Provide input on engineering feasibility and resource estimates
Seniority
Senior, hands-on IC
