Data Engineer - Cloud Data Platform (Snowflake & dbt)

AssistRx • Maitland, FL

15h

About The Position

AssistRx transforms the patient journey through technology—helping patients access life-saving therapies faster and more efficiently. Our platform connects patients, providers, payers, and manufacturers through secure, scalable, data-driven solutions that power better decisions and better outcomes across the healthcare ecosystem.
If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk.
Role Overview
AssistRx is seeking a Senior Data Engineer to join our Cloud Data Platform (CDP | Architecture) team. This role is highly hands-on and focused on designing, building, and scaling our modern data platform—with Snowflake and dbt as core, non-negotiable technologies.
You will play a critical role in shaping AssistRx’s enterprise data architecture, owning transformation logic, performance optimization, and data modeling patterns that support analytics, reporting, and downstream products across the organization.
This is not an entry-level or tool-learning role. We are looking for someone who can contribute immediately in a production Snowflake + dbt environment and help set technical standards for the broader data organization.

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

Nice To Haves

• Experience in healthcare, life sciences, or regulated environments
• Python experience for data engineering or automation
• Familiarity with Azure-based data tooling (ADF, storage, compute)
• Exposure to BI tools such as Power BI, Tableau, or ThoughtSpot

Responsibilities

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed