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

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.
• 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- 100% employer paid benefits for all eligible employees and immediate family members.

• 401K.
• Unlimited paid time off (PTO).
• Flexible working arrangements.
• Company paid Life Insurance, LTD/STD.