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Data Engineer - Cloud Data Platform (Snowflake & dbt)

1 month, 1 week ago
United States
Full-time
Senior
Data Engineer
Software Development
Azure CI/CD dbt Git HIPAA Power BI Python Salesforce Snowflake SQL Tableau
Apply Now
AssistRx

AssistRx

AssistRx is a technology solutions company that connects pharmaceutical and biotech manufacturers with prescribers, patients, and providers. Their flagship product, iAssist, simplifies the prescribing process for specialty therapies, focusing on accura...

Pharmaceuticals
251-1K
Founded 2009
View All Jobs 30

Description

  • Design, build, and optimize Snowflake-centric data architectures for 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 such as star schemas, data vault, and dimensional models.
  • Develop and maintain reliable data pipelines that integrate sources like 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.
  • Collaborate with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets.
  • Contribute to architectural standards, code reviews, and best practices across the Cloud Data Platform team.
  • Document data flows, models, and platform decisions to support scalability and knowledge sharing.
  • Ensure data pipelines and models meet PHI, PII, and HIPAA compliance requirements while supporting secure access and governance controls.

Requirements

  • 6+ years of experience in data engineering, analytics engineering, or backend data development.
  • Advanced Snowflake expertise in a production environment, including performance tuning, architecture, and 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, with Snowflake preferred.
  • Hands-on experience integrating data from SaaS platforms such as Salesforce and from operational systems.
  • Familiarity with CI/CD concepts for analytics engineering, including version control, deployments, and testing.
  • Strong understanding of data modeling best practices for analytics and reporting.
  • Experience in healthcare, life sciences, or other regulated environments is preferred.
  • Python experience for data engineering or automation is preferred.
  • Familiarity with Azure-based data tooling such as ADF, storage, and compute is preferred.
  • Exposure to BI tools such as Power BI, Tableau, or ThoughtSpot is preferred.

Benefits

  • Competitive pay structure and competitive compensation.
  • Matching 401(k) with immediate vesting.
  • Medical, dental, vision, life, and short-term disability insurance.
  • Supportive, progressive, fast-paced environment.
  • Collaborative, mission-driven culture that values innovation and continuous learning.
  • Access to cutting-edge cloud technologies and modern data engineering tools.
  • Career growth opportunities.
  • Opportunity to impact patient outcomes through data-driven healthcare technology.

Interested in this position?

Apply directly on the company website

Apply Now

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