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Senior Scientific Data Engineer
TetraScienceSenior Scientific Data Engineer leading the Scientific Data Engineering Team at TetraScience. Building data solutions for life sciences with a focus on customer success.
Tech Stack
Tools & technologiesPythonReactSQL
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.
ATS Keywords
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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