Über
TetraScience is a Scientific Data and AI company with a mission to radically improve and extend human life. TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes. Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add high-performance team members that authentically and unconditionally embrace our values: Transparency and Context Trust and Collaboration Fearlessness and Resilience Alignment with Customers Commitment to Craft Equality of Opportunity What You Will Do 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. As a Senior Scientific Data Engineer, 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. Our success is defined by collaboration. You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external. 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. 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. 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
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klicken Sie auf „Jetzt Bewerben“, um Ihre Bewerbung direkt auf deren Website einzureichen.