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Data Engineer - Life Sciences - Python, SQL, ETL - Professional Services

TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life.
Data
Mid-Level Software Engineer
Remote
5+ years of experience
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Description For Data Engineer - Life Sciences - Python, SQL, ETL - Professional Services

TetraScience, the Scientific Data and AI Cloud company, is seeking a Data Engineer for their Professional Services team. This role combines technical expertise in Python, SQL, and ETL with a passion for life sciences. The ideal candidate will have 5+ years of experience and will be responsible for implementing customer solutions, prototyping data acquisition strategies, and building data models and pipelines. Key responsibilities include designing file parsers, creating visualizations using tools like Spotfire and Tableau, and managing customer relationships throughout projects. The position requires a strong background in science or computer science, excellent communication skills, and the ability to manage multiple projects simultaneously. TetraScience offers a remote work environment with competitive benefits, including 100% employer-paid health coverage, unlimited PTO, and a 401K plan. This role is perfect for someone who is intellectually curious, thrives in a fast-paced environment, and is passionate about using data to drive scientific innovation.

Last updated a year ago

Responsibilities For Data Engineer - Life Sciences - Python, SQL, ETL - Professional Services

  • Own, prototype, and implement customer solutions
  • Research and prototype data acquisition strategy for scientific lab instrumentation
  • Research and prototype file parsers for instrument output files
  • Design and build data models
  • Design and build Python data pipelines, unit tests, integration tests, and utility functions
  • Build visualization, report, and dashboards using Spotfire, Tableau, Jupyter notebook
  • Work with the customer to test and ensure the solution fulfills their requirements
  • Coordinate project kickoff meetings; manage customer relationships throughout the project
  • Conduct formal project closeout meetings
  • Facilitate internal project post-mortems to identify areas of improvement

Requirements For Data Engineer - Life Sciences - Python, SQL, ETL - Professional Services

Python
  • >5 years experience in Python and SQL
  • Passionate about science and building solutions to make data more accessible
  • Experience with Elasticsearch, science background, or scientific instruments
  • Experience with tools like Spotfire, Tableau, Jupyter notebook
  • Undergraduate or graduate degree in chemistry, biology, computer science, statistics, public health, etc.
  • Excellent communication skills and attention to detail
  • Ability to quickly understand a highly technical product
  • Strong project and account management skills
  • High-bandwidth: thrives when managing multiple simultaneous projects
  • Intellectually curious with drive to learn
  • Ability to think creatively to solve project risks
  • Team player with ability to do what it takes for team success

Benefits For Data Engineer - Life Sciences - Python, SQL, ETL - Professional Services

Medical Insurance
401k
  • 100% employer-paid benefits for all eligible employees and immediate family members
  • Unlimited paid time off (PTO)
  • 401K
  • Flexible working arrangements - Remote work + office as needed
  • Company paid Life Insurance, LTD/STD

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