Data Engineer II

About Nimble

Nimble is a frontier robotics and AI company building the next era of autonomous logistics. We design, manufacture, and deploy intelligent robots that enable fast, efficient, and sustainable commerce at global scale. Our team is building generalized robot intelligence and developing the world’s first generalist super-humanoid robots capable of performing all core warehouse workflows with superhuman performance.

We recently closed a $106M Series C at a $1B valuation
, and we are continuing to grow our world-class team. Our long-term vision is to create the Autonomous Supply Chain
—reinventing how goods move through factories, warehouses, and last‑mile distribution using next-generation intelligent robotic systems.

Nimble was founded out of Stanford and Carnegie Mellon’s top AI labs and is backed by the world’s most prestigious investors. Our board includes iconic leaders in AI and robotics such as Marc Raibert (Founder of Boston Dynamics), Fei‑Fei Li (Former Chief Scientist of AI at Google, Director of Stanford’s AI lab), and Sebastian Thrun (Waymo, Founder of Google X, Kitty Hawk, and Udacity).

Join us and leave your mark on the future of robotics, AI, and global commerce.

Link:
Introducing Nimble – Intelligent Fulfillment Robots at Scale

At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce.

• Be relentlessly resourceful - Challenge conventions and overcome constraints.
• Be legendary - Pursue excellence and craft work that inspires.
• Be humble - Prioritize growth, learning, and the mission over ego.
• Be dependable - Take ownership and deliver with integrity.

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!

• Design and maintain scalable, reliable data pipelines.
• Ensure timely and efficient data collection, processing, and availability.
• Integrate data from multiple sources for both batch and streaming analytics.
• Manage and optimize the data lakehouse for performance and reliability.
• Apply best practices in data modeling, pipeline design, and query optimization.
• Monitor pipeline performance and troubleshoot issues.
• Develop and manage ETL/ELT processes for loading data into data warehouses and data lakes.
• Maintain data integrity and consistency across systems.
• Collaborate with engineering, product, finance, bizops, and other teams to understand data needs and deliver solutions.
• Provide data engineering support to ensure data accessibility and usability company‑wide.
• Define and enforce data quality standards.
• Implement data governance to ensure compliance with internal and external policies.
• Stay current with industry trends and technologies in data engineering.
• Continuously improve data processes and infrastructure for efficiency and scalability.
• Document data engineering processes, designs, and architectures.

• Fast learner with a strong work ethic, high performance standards, and ambition.
• 1‑4 years of experience in a tech company or fast‑growing startup.
• BS/MS/PhD in Computer Science, Mathematics, Computer Engineering, or a related field, or equivalent practical experience.
• Proficiency in writing production‑grade code in at least one of:
  Python, Java, Rust, Go, or Scala.
• Strong debugging skills and the ability to diagnose and resolve issues efficiently.
• Experience with Kafka and/or Spark.
• Experience working with AWS or other cloud platforms.

• Experience with modern data engineering tools like Databricks, Clickhouse, Delta Lake, Apache Iceberg, Apache Flink, Parquet, Apache, Arrow Airflow.
• Experience with Robotics, Machine Learning and Mechanical Engineering.

• Willing to work extended hours and…