Senior Analytics Data Engineer

Boston Scientific-posted 2 months ago
$82,600 - $156,900/Yr
Full-time • Mid Level
Hybrid • Maple Grove, MN
5,001-10,000 employees
Merchant Wholesalers, Durable Goods
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We are seeking a Senior Data Analytics Engineer to join our Cardiology Marketing & Digital Enablement (CMDE) team. In this role, you will lead the design and development of scalable, analytics-ready data models in Snowflake using dbt and other modern data transformation tools. Your work will empower marketing and commercial teams with trusted, curated datasets that drive data-informed decision-making, advanced analytics, and AI-powered marketing initiatives. As a technical leader, you will shape the data transformation layer of our marketing analytics ecosystem-turning complex, multi-source data into business-ready models that fuel dashboards, audience segmentation, and campaign optimization.

  • Lead the transformation and modeling of marketing, commercial, and healthcare data in Snowflake using dbt, ensuring scalability, reliability, and documentation.
  • Collaborate with analysts, data scientists, and marketers to translate business needs into well-defined data models and reusable data products.
  • Implement best practices in data modeling, testing, and version control to ensure high data quality and governance.
  • Drive data governance and standardization efforts to improve data trust, consistency, and accessibility, to ensure all data processes align with internal governance standards, privacy requirements, and documentation protocols.
  • Partner with data platforms and architecture teams to enhance data workflows, orchestration, and automation.
  • Serve as a mentor and thought leader in dbt, analytics engineering, and modern data development practices.
  • Bachelor's degree in information technology, Computer Science, Engineering, or a related field.
  • 5+ years of professional experience in data engineering or a similar technical role focused on transforming and modeling data for business use.
  • Strong expertise in dbt (Data Build Tool), SQL, and Snowflake.
  • Proven experience developing modular, documented, and tested dbt models in production environments.
  • Familiarity with Git-based workflows, CI/CD pipelines, and leading data test case creation to validate data quality and integrity.
  • Understanding of marketing and commercial data domains (CRM, campaign data, digital engagement) preferred, ideally Salesforce.
  • Familiarity with working in regulated industries or with sensitive business data (e.g., healthcare, life sciences).
  • Excellent communication and documentation skills.
  • Experience with marketing data (e.g., campaign performance, lead funnel, audience segmentation, web/media analytics).
  • Experience with healthcare claims and prescription data.
  • Experience with Python for data transformation or workflow automation.
  • Familiarity with semantic layers and AI/ML data enablement.
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