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Insulet Corporation
Insulet Corporation
1,001 – 5,000 Employees
HardwareHealthcare
Insulet Corporation is a healthcare and medical device company developing, manufacturing, and distributing connected insulin delivery systems. Its best-known product, Omnipod, is a tubeless, wearable Pod-based platform designed to support continuous and automated insulin delivery, including Omnipod 5. Founded in 2000 and headquartered in Acton, Massachusetts, Insulet serves more than 600,000 customers across 26 countries. The company’s work spans medical device engineering, research and development, global manufacturing, and efforts to simplify diabetes management while advancing sustainability and community impact.
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Data Engineering Manager - San Diego Hybrid | Insulet Corporation

Lead data science teams, analytics products, and cloud-based machine learning pipelines at Insulet Corporation, a medical device company developing Omnipod insulin delivery technology.

USUnited StatesCACalifornia
$168,800 – $253,250 / year
HybridFull-timeMiddleSeniorEnglish RequiredData Engineer
AWSAzureCloudCognosMS SQL ServerOraclePythonSparkSQLTableau

Description

  • Partner with IT, executives, and cross-functional leaders to identify high-value data science opportunities
  • Coordinate, mentor, and support scientists within the Analytics Center of Excellence
  • Manage data scientists and uphold the quality of analytics and data science delivery
  • Develop team members and help retain high-performing talent
  • Own the portfolio of analytics data products and insight delivery
  • Guide cloud technology adoption for automated machine learning and analytics pipelines
  • Investigate data patterns with established tools and self-developed programs
  • Conduct statistical analyses and predictive modeling
  • Produce automated reports
  • Present findings to diverse audiences in the context of business objectives
  • Manage the annual budget, including periodic updates and reforecasting
  • Work with senior leaders and teams across R&D, clinical, medical affairs, quality, and global manufacturing
  • Complete other assigned responsibilities

Requirements

  • A master’s degree plus at least five years of experience, or a PhD plus at least three years of experience, in data science, mathematics, computer science, electrical and computer engineering, or a related field
  • At least two years of experience with machine learning, artificial intelligence, or statistical inference
  • Direct experience managing teams in a fast-paced environment
  • Experience in the medical device or healthcare industry
  • Demonstrated leadership in a fast-paced setting
  • Ability to inspire team members and build alignment around guiding principles
  • Ability to manage competing priorities and diverse stakeholder needs
  • Capability to implement data science processes and best practices
  • Track record of resolving delivery challenges and helping teams adapt
  • Experience with an analytics programming tool such as Python or R
  • Proficiency in cloud computing and big data technologies, including Databricks or Spark on Azure or AWS
  • Proficiency in SQL and at least one relational database, such as Oracle, Teradata, or Microsoft SQL Server
  • Knowledge of diabetes pathophysiology, insulin signaling, or human physiology
  • Experience with business intelligence tools such as Spotfire, Tableau, or Cognos
  • Knowledge of software engineering principles and practices
  • Ability to work independently while maintaining clear communication with leaders and stakeholders
  • Strong communication skills, including the ability to document objectives and procedures
  • Willingness to travel occasionally, less than 10%

Benefits

  • Eligibility for incentive compensation
  • Medical, dental, and vision coverage
  • 401(k) plan with company matching
  • Paid time off
  • Additional employee wellness programs
  • Opportunities for career growth

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