TetraScience

Senior Data Engineer

May 26, 2022

Anywhere

Who we areTetraScience is the R&D Data Cloud company, solving humanity's grand challenges by accelerating and improving scientific outcomes. The Tetra R&D Data Cloud provides life sciences companies with the flexibility, scalability, and data-centric capabilities to enable easy access to compliant, engineered, liquid, and actionable scientific data ('Tetra Data'). As an open platform, TetraScience has built the largest network of life sciences innovators, including instrument makers, informatics solution providers, CRO/CDMOs, visualization, analytics, and data science partners — creating seamless interoperability and empowering an innovation feedback loop to drive the future of life sciences and harness the power of the world's scientific data.What You Will DoWe are expanding rapidly and adding a Senior Data Engineer to join our Data Engineering Team. The purpose of this role is to help customers implement the Tetra Data Cloud by overcoming complex technical, business and data challenges. As a Senior Data Engineer, you should be comfortable leading engagements, design sessions and the creation of solutions for customers. You will work directly with external stakeholders, gathering business and data design objectives, resulting in production-based solutions. As a Senior Data Engineer, you will be team focused, have excellent collaboration skills and 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 the customer to understand business requirements, gathering insight to potential positive outcomes, recommending potential outcomes and building a solution based on consensus. Coordinate project kickoff meetings with internal and external stakeholders, manage the customer relationship throughout the project, and conduct formal project closeout meetings. Take ownership of building data models, prototype and integration solutions that drive customer success. Research and prototype data acquisition strategy for scientific lab instrumentation, prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries). Design with quality backed by unit tests, integration tests, and utility functions. Create visualization, report, and dashboards using Spotfire, Tableau, Jupyter notebook and other tools. Facilitate internal project post-mortems to identify areas of improvement on the next implementation. RequirementsWhat You Have Done 10+ years of building solutions as a Software Engineer. 5+ years working in Python and SQL with a focus on Data Engineering and Data Management. 4+ years of experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes and managing to the delivery milestones. Excellent communications skills, attention to details, and the confidence to take control of project delivery. Quickly understand a highly technical product and effectively communicate with product management and engineering. Strong desire to work directly with customers with an intellectually curiosity so solve challenges posed by customer data. Team player and ability to roll up your sleeves and do what it takes to make the team successful. Ideal if you have experience with tools like Spotfire, Tableau, Jupyter notebook (any of them)and Elasticsearch, science background, or experience with scientific instruments. Benefits 100% employer-paid benefits for all eligible employees and immediate family members. Unlimited paid time off (PTO). 401K. Flexible working arrangements - Remote work + office as needed. Company paid Life Insurance, LTD/STD.

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