ODAIA is a remote first organization that works with pharma commercial teams to grow their brands and engage with healthcare professionals. The Senior Data Engineer will design and implement scalable solutions for data management, including fast and efficient data onboarding and customer data ingestion.
Requirements
- 5+ years in data engineering, building production grade data pipelines
- Strong experience with AWS (ECS, S3, Lambda, DynamoDB, API Gateway, etc.) and Snowflake
- Experience with Dagster or Airflow for orchestration and workflow management
- Strong programming proficiency in Python
- Experience building and optimizing complex data models utilizing DBT with a strong understanding of ETL processes
- Solid understanding of data structures, algorithms, and database design, with expertise in performant SQL schema and query development
- Familiarity with CI/CD and Test Driven Development in a production environment
- Experience integrating with CRM systems (Veeva, Salesforce) and handling healthcare, pharmaceutical, or pharmacy-related datasets is a strong asset
- Solid, demonstrated experience in AWS stack or an equivalent cloud platform
- Background in modernizing data environments, migrating from legacy systems to cloud-native architectures
- Collaborative and self-directed, able to manage projects independently, prioritize effectively, and adapt quickly to changing business needs
- Excellent communication skills, capable of translating complex technical concepts for both technical and non-technical stakeholders
Benefits
- Medical & dental benefits
- Flexible working hours
- Flexible time off policies
- Stock option grants