Senior Analytics Data Engineer

Additional Location(s):  N/A

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.           

About the role:

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.

 

Work Mode:
At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model, requiring employees to be in our Maple Grove, MN office at least three days per week.

 

Visa Sponsorship:
Boston Scientific will not offer, transfer sponsorship or take over sponsorship of an employment visa for this position at this time.

Your responsibilities will include:

• 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.

 

Required qualifications:

• 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).

 

Preferred qualifications:

• 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.

 

Requisition ID: 616896 

Minimum Salary: $ 82600 

Maximum Salary: $ 156900 

 

The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the po