Software Engineer III - Data Acquisition

Job Description: Data Acquisition Engineer

Position Overview

TetraScience is seeking a talented Data Acquisition Engineer to join our Scientific Data and AI Cloud team. You will be instrumental in building highly performant connectors to collect data from scientific instruments and other data sources, contributing to the development of AI-native scientific data sets and next-generation lab data management solutions.

About TetraScience

TetraScience is the Scientific Data and AI Cloud company, leading the Scientific AI revolution. We are the category leader in this vital new market, partnering with dominant players in compute, cloud, data, and AI infrastructure. We encourage candidates to review the "Tetra Way" letter authored by our CEO to understand our values and ethos.

Responsibilities

• Be a member of the Tetra data acquisition engineering team.
• Build highly performant connectors to collect data from scientific instruments and other data sources.
• Self-start and make concrete progress in the face of ambiguity or conflicting requirements.
• Design and develop efficient solutions to extract data from data sources.
• Address the resiliency, scale, and high availability requirements of the connectors.
• Deliver a high-quality product following the agile software development methodology.
• Partner with the product management team to translate vision and ideas into reality.
• Be comfortable working with a geographically dispersed team across various time zones.
• Learn, grow, and be challenged, representing your position amongst peers and leadership while remaining resilient and open to constructive feedback.

Requirements

• 5+ Years of experience developing distributed systems to collect and process large datasets.
• Proficient with Node.js, Typescript, and associated technologies, OR Python and associated technologies.
• Proficient with Databases and SQL.
• Familiar with container technologies like Docker.
• Familiar with cloud infrastructure providers like AWS, Azure, or GCP.
• Experience writing maintainable unit tests and automated integration tests.
• Experience with Linux and cloud-based performance tuning.
• Good application debugging skills.
• Strong communication skills, including technical writing.
• Bachelors or Masters degree in Computer Science or equivalent major, or equivalent in a relevant scientific field.
• Experience in Life Sciences or scientific data is a big plus!

Benefits

• 100% employer-paid benefits for all eligible employees and immediate family members.
• Unlimited paid time off (PTO).
• 401K.
• Flexible working arrangements - Remote work.
• Company paid Life Insurance, LTD/STD.
• A culture of continuous improvement where you can grow your career and get coaching.
• No visa sponsorship is available for this position.

Additional Details

• Employment Type: Full-time
• Location Type: Remote
• Department: Engineering
• Language: English
• Published: 2025-07-14