Principal, Data Engineer

Additional Location(s): US-MN-Maple Grove; US-MA-Marlborough

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.           

Principal, Data Engineer
 

About the Role:
 

Boston Scientific’s Global Enterprise Excellence team is on a mission to improve business outcomes and employee experiences by driving improvements in critical enterprise processes.

As a Principal, Data Engineer, you will be responsible for implementing data solutions, app development, and process automation in Celonis and other low code platforms. This will require you to understand business needs in various domains and work collaboratively as part of a cross-functional team to deliver solutions. To be successful, you must partner with stakeholders across multiple functions and can influence changes in a global organization. This position is ideally suited for an individual who is comfortable in a dynamic environment, with experience in conceptual and analytical problem solving related to one or more of the following domains: Product Development, Commercial Excellence, Talent Management, or Supply Chain.

Your Responsibilities Include:
 

• Collaborate with subject matter experts (SMEs), data scientists, business analysts, and IT teams to ensure alignment on business objectives and technical requirements.
• Build and customize data models, apps, automations, etc. on the Celonis platform to provide data-driven insights and process optimizations.
• Design, develop, and implement data pipelines within the Celonis internal and external data sources (e.g., SAP, Salesforce, SuccessFactors)
• Develop and implement data quality and governance processes to ensure data accuracy and integrity.
• Integrate Celonis apps with other enterprise tools, ensuring smooth data flow and system interoperability.
• Optimize and maintain large-scale data processing systems for performance, scalability, and reliability.
• Provide ongoing support for Celonis applications and data pipelines, solving issues and ensuring high system uptime.
• Document technical specifications, solutions, and processes for future reference.
• Leveraging general AI APIs (e.g., OpenAI, Anthropic, Google Vertex AI) to enhance data pipelines, automate processes, and derive insights.

What We’re Looking For:
 

Required Qualifications:
 

• Educational Background:
  • Bachelor’s degree in computer science, data engineering, or a related subject area.
  • Scrum Master Certification a plus.
• Experience:
  • 5+ years’ experience in data engineering, data science, software development, analytics, or similar roles
  • Proven track record of collaborating with executive-level stakeholders and influencing strategic initiatives.
  • Experience working with the Celonis platform or other process mining tools.
  • Track record of completing projects across people, process, and technology in complex, global organizations
  • Strong proficiency in data engineering and software development; Experience with programming languages such as Python, SQL
  • Solid understanding of data modelling, warehousing, and governance practices
  • Familiarity with common enterprise systems (SAP, SFDC, SuccessFactors, Ariba, etc.)
  • Ability to translate business problems into implementable solutions with quantifiable business benefits.
  • In depth experience leveraging Agile/Scrum methodology

Travel Requirements: Domestically and internationally up to 20%.