TetraScience is hiring a Data Software Engineer III- Data Acquisition - Connectors

**Who We Are** TetraScience is the Scientific Data and AI Cloud company. We're pioneering the Scientific AI revolution by crafting AI-native scientific data sets and building a growing suite of next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes. We're the category leaders in this emerging market, generating more revenue than all other companies combined. In the past year, tech giants in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships. Before you apply, you'll need to review the Tetra Way letter, written directly by Patrick Grady, our co-founder and CEO. This document is critical — it's designed to help you understand whether TetraScience aligns with your values and professional ethos. We can't overstate its importance: if you join us, you'll be expected to embody its principles daily. **What You Will Do** - Join our data acquisition engineering team building high-performance connectors to collect data from scientific instruments and other sources - Self-start and make concrete progress, even when facing ambiguity or conflicting requirements - Design and develop efficient data extraction solutions - Address connector resilience, scalability, and high availability challenges - Deliver high-quality products using agile software development methodologies - Partner with product management to transform vision into reality - Work comfortably with a geographically dispersed, multi-time-zone team - Embrace continuous learning, growth, and constructive feedback while confidently representing your perspectives **Requirements** **What You Have Done** - 5+ years developing distributed systems for collecting and processing large datasets - Proficient with Node.js, Typescript, and associated technologies, OR Python and related tools - Proficient with Databases and SQL - Familiar with container technologies like Docker - Familiar with cloud infrastructure providers (AWS, Azure, or GCP) - Experience writing maintainable unit and automated integration tests - Experience with Linux and cloud-based performance tuning - Strong application debugging skills - Excellent communication and technical writing abilities - Bachelor's or Master's in Computer Science or equivalent major - Bonus: Experience in Life Sciences or scientific data **Benefits** - 100% employer-paid benefits for eligible employees and immediate family - Unlimited paid time off (PTO) - 401K - Flexible remote work arrangements - Company-paid Life Insurance, LTD/STD - Culture of continuous improvement with career growth opportunities No visa sponsorship is available for this position #LIRemote