layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Senior Scientific Data Engineer at TetraScience | LAYIQ

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. 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.
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

Senior Scientific Data Engineer

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