Senior Data Engineer

ChorusView, Inc

United States

United States

Find similar jobs

About

Chorus is a suite of orchestration tools and services transforming how you make, move, and manage your assets. Its an AI startup that recently spun out of Alphabets Moonshot Factory. Our mission is to transform how the worlds goods are made, moved, and managed. We stream data from our customers physical assets into advanced applications that show them whats happening now, whats likely to happen next, andmost importantlywhat to do about it. We dont sell sensors or raw data; we sell solutions to real business problems. Our customers rely on us to turn streams of IoT data into the intelligence that runs their operations. Were a fun, supportive, and sharp team building the data refinery that makes this possible. If you want to work at the intersection of AI, IoT, and real-world problem-solving, this is the place. The Role
Were looking for a Senior Data Engineer to build the data infrastructure that powers customer-facing applications. Our Data Scientists design applications that solve operational problems; youll build the performant, cost-efficient data backends that make them possible. Our platform processes high-volume, high-velocity IoT streams from physical assetsmillions of sensor readings flowing into BigQuery, feeding real-time applications that cant afford to be slow or expensive. Youll design data models, optimize pipelines, build APIs, and obsess over the tradeoffs between latency, freshness, and cost. This is data engineering where performance and efficiency directly impact customer experience and unit economics. Company Details:
Supply Chain AI, Startup with Strong Revenue Growth, 40+ Employees Compensation : Base $170,000-$220,000 (depending on experience and work location)+ bonus + equity Location : Ability to work hybrid in Mountain View, CA **OR** Boulder, CO. Who You Are Passionate about elegant data architecture and brutal efficiency An optimizer who sees cost and performance as design constraints, not afterthoughts Builder of systems that are fast, reliable, and maintainable What Youll Do
Design and build data pipelines, models, and APIs that power customer-facing applications Optimize data layers for the best tradeoff of performance, freshness, and cost (we process millions of events dailyefficiency matters) Partner with Data Scientists and ML Engineers to translate application requirements into robust data architecture Ensure data quality, governance, and reliability across streaming and batch workloads Drive hands-on implementation from design through production Must Have
3-5 years of data engineering experience building production data systems Strong experience with cloud data platforms (GCP/BigQuery strongly preferred) Proficiency in SQL, Python, and data orchestration tools (Airflow, DBT) Experience building APIs for data-intensive applications (FastAPI or similar) Track record of optimizing data systems for cost and performance at scale Genuine desire to work in a fast-paced startup environment Nice to Have
Big data tools experience (Spark, Presto/Trino, k8s) Query optimization and cost management experience Experience with streaming/real-time data systems Building data systems that integrate with ML/AI models Startup experience Join Our Team Apply Today
Submit your application and our team will be in touch. #J-18808-Ljbffr

United States

Languages

English

Notice for Users

This job was posted by one of our partners. You can view the original job source here.

Find similar jobs