AssistRx

Specialty therapy initiation and patient support company delivering informed access and improved outcomes.

Senior Data Engineer – Cloud Data Platform, Snowflake, dbt

Full TimeRemoteTeam 501-1,000Since 2011H1B SponsorCompany SiteLinkedIn

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**

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