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Tech Lead Scientific Data Engineering

TetraScience

Skills

Required

  • Python
  • SQL
  • building solutions

Preferred

  • data plotting dashboarding tools
  • React / Streamlit
  • pre-clinical data
  • data models

Join TetraScience, a leading Scientific Data and AI company dedicated to improving and extending human life. As a Tech Lead in Scientific Data Engineering, you will lead a team of Scientific Data Engineers, build data models and solutions, and drive customer success. You will work closely with cross-functional teams and have a significant impact on the company's mission. Enjoy unlimited PTO, comprehensive health benefits, a 401k savings plan, and an equity program.

Manage a team of Scientific Data Engineers, supervise their career growth and performance, and ensure successful project execution.

Responsibilities

  • Collaborate with cross-functional teams to understand business requirements, gather insights, and build solutions based on consensus.
  • Take ownership of building data models, prototypes, and solutions that drive customer success, and ensure high-quality data pipelines.

Requirements

  • Quickly understand a highly technical product and effectively communicate with product management and engineering
  • Excellent communication skills, attention to detail, and the confidence to take control of project delivery
  • 10+ years working in Python and SQL with a focus on data
  • 10+ years of building solutions as a Data Engineer or similar fields
  • Experience leading projects, managing requirements, and handling timelines
  • Experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones
  • Experience manaing engineering teams with five or more direct reports

Preferred

  • Experience with data plotting dashboarding tools like React and/or Streamlit is strongly preferred
  • Experience working with pre-clinical data and lab scientists is strongly preferred

Pay

USD 180,000 - 230,000