Data Engineer

Company: Sundayy

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-05-13

About this role

About The Company
Sennos is a rapidly emerging leader in the field of AI-driven sensing, analytics, and control solutions tailored for the Fluid, Fermentation, and Bio-manufacturing industries. Our innovative approach integrates cutting-edge hardware, sophisticated software, and real-time multi-parametric data to deliver unparalleled insights into complex biological and chemical processes. We have developed the world’s most advanced sensing systems and the largest AI-powered fermentation data warehouse, enabling precision predictions and next-generation production control. By owning the entire technology stack—from sensing hardware to data infrastructure—we provide transformative solutions that reveal intricate biological interactions, optimize outcomes, and drive efficiency in manufacturing processes.


As a dynamic startup experiencing rapid growth, Sennos values adaptability, innovation, and a commitment to continuous improvement. Our team is dedicated to pushing the boundaries of what is possible in AI-driven sensing and analytics, making a significant impact across industries. We foster an inclusive, collaborative environment where talent can thrive, and careers can grow alongside our technological advancements.


About The Role
The Data Engineer will play a vital role within the Data & Analytics organization, supporting the development, maintenance, and enhancement of Sennos' modern data platform. This position involves designing and managing robust data pipelines, implementing data transformations, and ensuring the reliability and integrity of our Snowflake-based data warehouse. The successful candidate will work closely with senior technical leaders, data architecture teams, analytics engineers, and product managers to develop scalable data solutions that empower analytics, reporting, machine learning, and product features.


This role offers a unique opportunity to engage in hands-on technical execution while gaining exposure to data mod...

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