VP, Senior Data Engineer responsible for designing and developing cloud data solutions for insider risk in Information Security at SMBC. Collaborating with multiple teams to enhance cybersecurity data platform.
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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