Senior Data Engineer developing scalable data solutions on Databricks for analytics and operational workloads. Collaborating with cross - functional teams to modernize the data ecosystem.
About the role
- Staff Software Engineer working with teams to deliver scalable data solutions at GRAIL. Utilizing next-generation sequencing and data science for early cancer detection in a hybrid role.
Responsibilities
- Contribute to a highly collaborative team focused on delivering value to cross-functional partners
- Integrate inputs from diverse data sources into well-structured datasets
- Build and maintain access controls and data-delivery mechanisms
- Partner with teams to define and implement data transformations
- Ensure all delivered data adheres to quality expectations and compliance requirements
- Implement automated testing and release processes
- Mentor engineers and scientists in best practices
Requirements
- BS/MS/PhD in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Statistics, Bioinformatics) or equivalent and 6+ years of experience in data engineering
- Deep knowledge of ETL/ELT workflows, data pipeline development, and database management
- Expertise in SQL and proficiency in Go and Python; Experience with R is nice to have
- Experience with cloud-based data platforms (AWS, Azure, or Google Cloud)
- Strong analytical and problem-solving skills
- Proven experience working on cross-functional teams
- Hands-on experience with relational databases, data modeling, data pipeline tools, and workflow engines (e.g., SQL, dbt, Apache Airflow, AWS Glue, Spark)
Benefits
- Annual bonus plan tied to company and individual performance
- Long-term incentive plan
- Competitive benefit package
- Flexible time-off
- 401(k) with company match
- Medical, dental, and vision insurance plans
- Mindfulness offerings
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