Senior Analytics Data Engineer

Senior Analytics Data Engineer

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.

We are seeking a Data Engineer to join our Cardiology Marketing & Digital Enablement (CMDE) team. In this role, you will help build a robust, business-focused data ecosystem that enables enhanced reporting, analytics, and AI-powered marketing. This position is crucial in transforming raw marketing, commercial, and healthcare data into curated, accessible datasets that fuel performance dashboards, audience targeting, campaign optimization, and AI marketing use cases.

Boston Scientific follows a hybrid work model, requiring team members to be on-site at least three days per week to foster strong collaboration and synergy.

Your responsibilities will include:

• Design, build, and maintain scalable data models and transformation workflows using Snowflake, DBT, and SQL.
• Develop and manage business-ready datasets and data marts to support dashboards, performance tracking, AI/ML use cases, and marketing/commercial applications.
• Setup, monitor, and validate data workflows to ensure accuracy, reliability, and timely delivery.
• Review code written by other team members, providing constructive feedback and ensuring adherence to quality standards.
• Guide and support team members, helping them improve their coding skills and understanding coding best practices.

Cross-Functional Collaboration:

• Collaborate with Data Product Owners and Business Analysts to gather requirements, translate business needs into technical solutions, and prioritize work based on value and urgency.
• Serve as a data subject matter expert (SME) working directly with marketing, analytics, digital solutions, and commercial stakeholders to quickly assess and resolve data challenges.
• Proactively provide hands-on, responsive support to evolving data needs, from exploratory investigations to production-ready pipelines.

Documentation & Governance:

• Maintain clear and thorough documentation for data logic, models, lineage, and workflows.
• Ensure all data processes align with internal governance standards, privacy requirements, and documentation protocols.

Advanced Analytics Support:

• Enable and enhance AI-powered marketing initiatives, including lead scoring, real-time personalization, and optimization models by delivering clean, structured, and accessible data.

Required qualifications:

• 5+ years of professional experience in data engineering or a similar technical role focused on transforming and modeling data for business use.
• Expertise in SQL, with hands-on experience designing data models and transformation pipelines in Snowflake and DBT.
• Experience in integrating and transforming data from Salesforce.
• Proven ability to work collaboratively with cross-functional partners while operating independently as a data subject matter expert (SME).
• Strong problem-solving skills and ability to provide responsive, hands-on solutions to data-related questions and requests.
• Familiarity with working in regulated industries or with sensitive business data (e.g., healthcare, life sciences).

Preferred qualifications:

• Bachelor's degree in information technology, Computer Science, Engineering, or a related field.
• 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.
• Knowledge of BI tools (e.g., Tableau, Power BI) and enabling data for self-service use.
• Experience supporting AI/ML applications (e.g., lead scoring, predictive modeling, personalization).