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Who we are
TetraScience is the Scientific Data Cloud Company with a mission to accelerate scientific discovery and improve and extend human life. The Scientific Data Cloud is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain and delivers the foundation of harmonized, actionable scientific data necessary to transform raw data into accelerated and improved scientific outcomes. Through the Tetra Partner Network, market-leading vendors access the power of our cloud to help customers maximize the value of their data.
Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add iniduals to our team that demonstrate the following values:
Transparency and Context - We trust our people will make the right decisions and overcome any challenges when given data and context.Trust and Collaboration - We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.Fearlessness and Resilience - We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks.Alignment with Customers - We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.Commitment to Craft - We are passionate missionaries. We sweat the details, as the small things enable the big things.Equality of Opportunity - We seek out the best of the best regardless of gender, ethnicity, race, or age. We seek out those who embody our common values but bring unique and invaluable perspectives, talents and advantages.What You Will Do
The TetraScience Professional Services Data Science Engineer will report into the Professional Services Team. The purpose of this role is to help customers implement the Tetra Data Cloud by overcoming complex technical, business and data challenges for new clients. 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.
Requirements
7+ years of building solutions as a Software Engineer or Data 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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