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Tech Lead Scientific Data Engineering

TetraScience· Data Engineering
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Remote$180k - $230kFull-timePosted 1mo ago

About the role

Data engineering leader to build and productionize data systems and solutions for pre-clinical data using Python, SQL, and data pipelines; leads SDE team, collaborates with cross-functional teams, and drives customer-focused outcomes.

Responsibilities

  • Own project delivery. Lead a team of SDEs. Supervise their career growth and performance.
  • Work with cross-functional teams to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus.
  • Take ownership of building data models, data pipelines, and data applications that drive customer success.
  • Use LLM to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R&D lab instruments, manufacturing, CRO, CDMO, ELN, LIMS) with various data formats: .xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries
  • Extract reusable schema components and parsing functions, and productize them into Python libraries
  • Build high-quality data pipelines with full unit test and integration test coverage to produce high-fidelity data
  • Build data applications, reports, and dashboards using React, Streamlit, Jupyter notebook, etc.
  • Drive value for the customers - verify the solution fulfills their requirements and provides value
  • Quality gatekeeper: design with quality backed by unit tests, integration tests, and utility functions.
  • Promote team-wide process/technology improvements on product quality and developer experience
  • Rally the team to finish Agile Sprint commitments. Actively surfacing team inefficiencies and striving to resolve them.
  • Driven by results. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen.

Qualifications

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

Skills

Required:PythonSQLData ModelingData Pipelines
Nice to have:React / StreamlitLLM / Data Schemas

Benefits

  • 100% employer paid benefits for all eligible employees and immediate family members.
  • 401K.
  • Unlimited paid time off (PTO).
  • Company paid Life Insurance, LTD/STD.
Last updated Sep 30, 2026. Interested? Apply on the company site.
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About TetraScience

The only R&D data cloud for life sciences

TetraScience provides the world’s first and only R&D Data Cloud, with a mission to transform life sciences R&D, accelerate discovery, and improve human life. Scientists at global pharma and biotech organizations rely on our innovative Tetra Data Platform for easy access to centralized, harmonized, and actionable scientific data to accelerate their digital lab transformation. With best-in-class SaaS performance, a team of industry innovators, and excellent product/market fit, Tetra is positioned to become an iconic life sciences software company.

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