TetraScience is looking to hire a Senior Scientific Data Engineer to help build Tetra Data and productizable solutions, which form the foundation of the Data Engineering layer. This role involves mentoring junior team members, leading design sessions, and architecting solutions to accelerate and improve scientific outcomes by designing and industrializing AI-native scientific data sets.
Requirements
- 8+ years of building solutions as a Data Engineer or similar fields.
- 8+ years working in Python and SQL with a focus on data.
- 6+ years of experience leading projects, managing requirements, and handling timelines
- 4+ years of experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones.
Responsibilities
- Take ownership of building data models, prototypes, and integration solutions that drive customer success.
- Research and prototype data integration strategy for scientific lab instrumentation, prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries).
- 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.
- Provide mentorship to junior SDEs and show leadership in every front
Other
- You will be a Senior member of the Scientific Data Engineer team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer.
- We are looking for a player-coach 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.
- 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.
- Unlimited paid time off (PTO).
- Flexible working arrangements.
