
Senior Data Engineer – Cloud Data Platform, Snowflake, dbt
AssistRx
full-time
Posted on:
Location Type: Remote
Location: Florida • United States
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Job Level
About the role
- 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
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**
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SnowflakedbtSQLdata modelingdata pipelinesperformance tuningdata architecturedata validationdata governancecloud-based data platforms
Soft Skills
collaborationdocumentationproblem-solvingcommunicationattention to detail