Sr. Data Engineer

About Us Chorus is an AI startup that recently spun out of Alphabet's Moonshot Factory. Our mission is to transform how the world's goods are made, moved, and managed. We stream data from our customers' physical assets into advanced applications that show them what's happening now, what's likely to happen next, and—most importantly—what to do about it. We don't 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. We're 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.

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.

The Role

We're 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; you'll build the performant, cost-efficient data backends that make them possible.

Our platform processes high-volume, high-velocity IoT streams from physical assets—millions of sensor readings flowing into BigQuery, feeding real-time applications that can't afford to be slow or expensive. You'll 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.

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 You'll 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 daily—efficiency 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

Pay: $170,000.00 - $220,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Relocation assistance
Vision insurance

Work Location: Hybrid remote in Boulder, CO 80302

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