Data Engineer
Posted 2ds ago
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Job Description
Data Engineer building secure Snowflake data architecture and pipelines for Blood Cancer United. Enabling enterprise analytics and business intelligence to improve blood cancer patient outcomes.
Responsibilities:
- Design, build, and maintain scalable and secure data architecture in Snowflake
- Develop and optimize Snowflake objects, including tables, dynamic tables, views, and warehouses
- Manage Snowflake security and access
- Partner with the Integration team on ETL pipelines in and out of the data warehouse using Snowflake-native tools, Informatica, and MuleSoft
- Build and manage deployment of Snowflake changes across environments, including production, using GitHub
- Ensure data quality, integrity, and lineage across pipelines
- Write and optimize query performance and warehouse usage
- Monitor Snowflake compute costs
- Develop scripts for moving data and ETL/ELT between AWS and Snowflake
- Work with AWS, S3, Azure, GCP, and blob storage
- Support the production Enterprise Data Warehouse environment, including ingestion and transformation issues
- Perform unit testing and clearly document builds
- Partner with data analysts, governance, and Business Intelligence teams to enable analytics
- Support the Data Architect and Business Intelligence teams with optimized data models
- Translate business requirements into scalable data solutions
- Maintain working knowledge of the organization’s mission and programs
- Perform other related duties as assigned
Requirements:
- Bachelor’s degree in Computer Science, Information Systems, or related field
- 5+ years of designing and implementing a fully operational production-grade large-scale data solution
- Hands-on experience with Snowflake Data Cloud
- Understanding of enterprise data management concepts, including governance, engineering, science, lake, warehouse, sharing, and applications
- Experience using GitHub for deployments
- Strong SQL skills
- Experience with cloud platforms such as AWS, Azure, or GCP
- Knowledge of data modeling techniques, including Kimball and Data Vault
- Excellent written and verbal presentation and communication skills
- Ability to problem solve in an environment with unclear requirements
- Weekend and evening work may be required
Benefits:
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Flexible spending accounts
- 403b retirement plan
- Generous paid time off
- Federal paid holidays
- Wellness program
- Employee assistance program
- Annual incentive plan
- Competitive benefits package
- Reasonable accommodations for individuals with disabilities


















