AssistRx
Specialty therapy initiation and patient support company delivering informed access and improved outcomes.
Senior Data Engineer – Cloud Data Platform, Snowflake, dbt
Location
Florida
Posted
14 days ago
Salary
Not specified
Bachelor Degree6 yrs expEnglishCloudSQLVault
Job Description
• Design, build, and optimize Snowflake-centric data architectures to support enterprise analytics, reporting, and operational use cases
• Own dbt transformation layers, including model design, testing, documentation, and deployment best practices
• Implement scalable data modeling patterns (star schemas, data vault, dimensional models) aligned to business needs
• Develop and maintain reliable data pipelines integrating sources such as Salesforce, application databases, and external client data
• Ensure data quality through validation, testing, monitoring, and observability frameworks
• Optimize Snowflake performance and cost through query tuning, warehouse design, and efficient data modeling
• Partner closely with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets
• Contribute to architectural standards, code reviews, and best practices across the CDP team
• Document data flows, models, and platform decisions to support long-term scalability and knowledge sharing
• Ensure data pipelines and models meet PHI / PII / HIPAA compliance requirements
• Support secure access patterns, role-based permissions, and data governance controls
Job Requirements
- 6+ years of experience in data engineering, analytics engineering, or backend data development
- Advanced Snowflake expertise in a production environment (performance tuning, architecture, optimization)
- Strong dbt experience building and maintaining transformation layers at scale
- Expert-level SQL skills, including complex transformations and performance optimization
- Experience designing and supporting cloud-based data platforms (Snowflake preferred)
- Hands-on experience integrating data from SaaS platforms (e.g., Salesforce) and operational systems
- Familiarity with CI/CD concepts for analytics engineering (version control, deployments, testing)
- Strong understanding of data modeling best practices for analytics and reporting
Benefits
- Supportive, progressive, fast-paced environment
- Competitive pay structure
- Matching 401(k) with immediate vesting
- Medical, dental, vision, life, & short-term disability insurance
- Opportunity to impact patient outcomes through data-driven healthcare technology.
- Collaborative and mission-driven culture that values innovation and continuous learning.
- Access to cutting-edge cloud technologies and modern data engineering tools.
- Competitive compensation, comprehensive benefits, and career growth opportunities**