TetraScience is hiring a
Data Engineer

Summary

The job is for a Customer Solutions Engineer at TetraScience, a company specializing in scientific data and AI cloud solutions. The role involves owning, prototyping, and implementing customer solutions, researching data acquisition strategies, designing and building data models, and working with customers to ensure the solution fulfills their requirements.

Requirements

• >5 years in Python and SQL
• Passionate about science and building solutions to make the data more accessible to the end-users
• Elasticsearch, science background, or experience with scientific instruments
• Experience with tools like Spotfire, Tableau, Jupyter notebook (any of them)
• Undergraduate or graduate degree in chemistry, biology, computer science, statistics, public health, etc
• 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 project, account management, and proactive problem-solving skills
• High-bandwidth: thrives when managing multiple simultaneous projects
• Intellectually curious: Unwavering drive to learn and know more every day
• Ability to think creatively on how to solve projects risks without reducing quality
• Team player and ability to 'roll up your sleeves' and do what it takes to make the team successful

Responsibilities

• Own, prototype, and implement customer solutions
• Research and prototype data acquisition strategy for scientific lab instrumentation
• Research and prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries)
• Design and build data models
• Design and build Python data pipelines, unit tests, integration tests, and utility functions
• Build visualization, report, and dashboards using Spotfire, Tableau, Jupyter notebook and etc
• Work with the customer to test and make sure the solution fulfills their requirements and solves their need
• Coordinate project kickoff meetings; manage the customer relationship throughout the project, and conduct formal project closeout meetings
• Facilitate internal project post-mortems to identify areas of improvement on the next implementation

Preferred Qualifications

No specific preferred requirements were mentioned in the job description

Benefits

• Competitive Salary
• Equity in a fast-growing company
• Supportive, team-oriented culture of continuous improvement
• Generous paid time off (PTO)
• Flexible working arrangements - Remote work