Data Engineer II/III

Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We’re training robot AGI to power a proprietary generalist supply chain superhumanoid, the first robot in the world capable of performing thousands of tasks across the supply chain. We’ve raised over $220M at over $1B valuation and formed a strategic alliance with FedEx to build a national network of autonomous warehouses capable of generating many billions in annual revenue. We are a hardcore and obsessed team of the world’s best engineers and operators. If you are obsessed with your craft, enjoy a high-intensity and fast moving high impact environment, are super high agency in getting hard things done and want to be part of building the world’s most legendary robotics company at the most pivotal moment in history, we want to work with you.

We are on a mission to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – powered by generalist superhumanoids.

Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford’s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles).

Let’s be legendary.

About the Role

Help us advance our robotics moonshot by scaling our data engineering efforts. Drive design and development of data infrastructure across our products and internal tools. You will play a critical role in working with our world-class cross-functional team to architect and build the world’s most advanced robotic systems for the world’s biggest robotics opportunity!

Responsibilities

• Design, build, and maintain scalable, reliable data pipelines that support both batch and real-time analytics.
• Develop and optimize ETL/ELT processes to ingest, transform, and integrate data from multiple sources into data warehouses and lakehouse platforms.
• Drive and apply best practices in data modeling, pipeline architecture, query optimization, data quality and data engineering standards.
• Collaborate closely with finance, bizops, and engineering teams to understand data needs and deliver solutions.
• Provide data engineering support to ensure data accessibility and usability company-wide.
• Implement and maintain data governance frameworks to support compliance with internal policies and external regulatory requirements.
• Evaluate and adopt modern data engineering technologies, tools, and best practices to improve scalability, reliability, and operational efficiency.
• Document data engineering processes, designs, and architectures

Qualifications

• BS/MS/PhD in Computer Science, Mathematics, Computer Engineering, or a related field, or equivalent practical experience.
• Fast learner with a strong work ethic, high performance standards, and ambition.
• 1-5 years of professional experience
• Proficiency in writing production-grade code in Python and SQL.
• Hands-on experience with one of the following languages: Rust, Go, Java, C#, C++.
• Strong debugging skills and the ability to diagnose and resolve issues efficiently.
• Experience with Kafka, Spark and common lakehouse formats like Icebert, DeltaLake etc.
• Experience working with cloud platforms like AWS, GCP, Azure.

Preferred Experience

• Experience with Clickhouse, Apache Flink, Databricks
• Experience on financial reporting and understanding of accountability

Additional Requirements

• Willing to work extended hours and weekends if needed
• This position is based full time in our San Francisco headquarters

Compensation

The pay range for this position at the start of employment is expected to be between $140,000 - $200,000/year. Your exact offer may vary depending on multiple individualized factors, including job-related knowledge, skills, and experience. In addition to cash compensation, this position will also receive generous equity for this position.