Senior Scientific Data Engineer

TetraScience

. You will be leading the Scientific Data Engineering (SDE) Team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer.

Posted 5/6/2026full-timeCambridge • Massachusetts • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PythonReactSQL

About the role

Key responsibilities & impact

You will be leading the Scientific Data Engineering (SDE) Team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer.
We are looking for a data engineer who is experienced, hands-on, and can also provide mentorship to junior team members.
As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions and architecting solutions.
You will work directly with Product Managers and Solution Architects to gather business and data design objectives, resulting in production-based solutions.
You will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have a high commitment to customer success by delivering mission-critical implementations.
Work with Product Managers and Solution Architects 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, prototypes, and integration solutions that drive customer success.
Use AI agents 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.
Work closely with product managers, project managers, business analysts, data architects, and ML engineers to deliver best-in-class data products.
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.
Lead 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.
Provide mentorship to junior SDEs and show leadership in every front.

Requirements

What you’ll need

8+ years of building solutions as a Data Engineer or similar fields
8+ years working in Python and SQL with a focus on data
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 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.

Benefits

Comp & perks

100% employer paid benefits for all eligible employees and immediate family members.
401K.
Unlimited paid time off (PTO).
Company paid Life Insurance, LTD/STD.
This position isn't eligible for visa sponsorship.

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Hard Skills & Tools

PythonSQLdata modelingdata integrationdata pipelinesunit testingintegration testingdata parsingdata schemadashboarding

Soft Skills

leadershipmentorshipcommunicationattention to detailproject managementteam collaborationcustomer focusproblem-solvingresults-drivenAgile methodology