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Data Engineer (Life Sciences & Healthcare)

· Job Posted June 14, 2026
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Job Responsibility

  • Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting
  • Work across the application stack, focusing primarily on backend data engineering
  • Ensure code quality through reviews, testing, and adherence to best practices
  • Collaborate with global engineering pods to maintain consistent coding standards
  • Mentor and guide engineers and contractors, fostering technical growth
  • Partner with product managers and peers to translate business requirements into scalable solutions

Requirements

  • 5+ years of experience in data engineering, including at least 2–3 years in a senior-level role
  • Proficiency in Python and SQL
  • Hands-on experience with cloud platforms: Google Cloud and AWS preferred
  • Azure acceptable
  • Strong understanding of data warehousing concepts
  • experience with BigQuery or similar technologies
  • Ability to communicate complex technical concepts clearly to peers and stakeholders
  • Bachelor’s degree in Computer Science or related field

Nice to have

  • Experience with JavaScript to support legacy code
  • Familiarity with Snowflake or other modern data platforms
  • Exposure to AI/ML concepts and interest in applying them to data engineering
  • Healthcare industry experience is a plus

What we offer

  • Technical and non-technical training for professional and personal growth
  • Internal conferences and meetups to learn from industry experts
  • Support and mentorship from an experienced employee to help you professional grow and development
  • Health insurance
  • English courses
  • Sports activities to promote a healthy lifestyle
  • Flexible work options, including remote and hybrid opportunities
  • Referral program for bringing in new talent
  • Work anniversary program and additional vacation days

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