Jobs and Careers
NI
Senior Data Engineer
Nimble RoboticsSan Francisco, United Statesfull_timeVerifiedPosted 8 Oct 2024
About the role
About Nimble
Nimble is a robotics and AI company building end-to-end autonomous logistics to enable fast, efficient, and sustainable commerce. We’re developing generalized robot intelligence and building general-purpose logistics robots, the first in the world capable of performing all core warehouse functions.
Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.
Our long-term vision is to invent the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce.
We were founded from the AI labs at Stanford and Carnegie Mellon. We’re backed by the World’s most prestigious investors as well as AI and robotics legends like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanford’s AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)! We've recently closed a $106M Series C funding round with a $1 billion valuation and we're continuing to grow our all-star team.
Link: Introducing Nimble – Intelligent Fulfillment Robots at Scale
Nimble's Core Values:Be relentlessly resourceful - Challenge the status quo. Make the impossible, possible. Do whatever it takes.Be legendary - Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others.Be humble - Leave your ego behind. Have a growth mindset. Learn and improve yourself every day.Be dependable - Take ownership and deliver. Be loyal to your team and Nimble's mission.
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!
Nimble is a robotics and AI company building end-to-end autonomous logistics to enable fast, efficient, and sustainable commerce. We’re developing generalized robot intelligence and building general-purpose logistics robots, the first in the world capable of performing all core warehouse functions.
Our mission is to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial.
Our long-term vision is to invent the Autonomous Supply Chain – everything from the inside of factories and warehouses to your front door – using next-gen intelligent robotics to deliver faster, more efficient, and more sustainable commerce.
We were founded from the AI labs at Stanford and Carnegie Mellon. We’re backed by the World’s most prestigious investors as well as AI and robotics legends like Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Chief Scientist of AI at Google, Director of Stanford’s AI lab), and Sebastian Thrun (Founder of Google X, Waymo, Kitty Hawk, and Udacity)! We've recently closed a $106M Series C funding round with a $1 billion valuation and we're continuing to grow our all-star team.
Link: Introducing Nimble – Intelligent Fulfillment Robots at Scale
Nimble's Core Values:Be relentlessly resourceful - Challenge the status quo. Make the impossible, possible. Do whatever it takes.Be legendary - Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others.Be humble - Leave your ego behind. Have a growth mindset. Learn and improve yourself every day.Be dependable - Take ownership and deliver. Be loyal to your team and Nimble's mission.
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 and reliable data pipelines using Databricks.
- Ensure data is collected, processed, and made available in a timely and efficient manner.
- Integrate data from various sources, including Kafka streams, to support real-time analytics.
- Manage and optimize data lake to ensure high performance and availability.
- Implement best practices for database design, indexing, and query optimization.
- Monitor database performance and troubleshoot issues as they arise.
- Develop and manage ETL processes to transform and load data into data warehouses and data lakes.
- Ensure data integrity and consistency across different data sources and systems.
- Work closely with analysts, finance, bizops, product, and other stakeholders to understand data needs and deliver solutions that support business objectives.
- Provide data engineering support for various functions across the company, ensuring data accessibility and usability.
- Establish and enforce data quality standards and practices.
- Implement data governance frameworks to ensure compliance with internal and external data policies.
- Stay up-to-date with the latest industry trends and technologies in data engineering.
- Continuously improve existing data processes and infrastructure to enhance efficiency and scalability.
- Document data engineering processes, designs, and architectures.
Qualifications
- Fast learner, A-player, excellent work ethic, and ambitious
- 4-6 years of experience in a tech company or in a fast-growing startup
- BS/MS/Ph.D. in Computer Science, Mathematics, Computer Engineering or a related discipline, or equivalent experience.
- Strong experience writing production code in Python, Java
- Ability to identify and resolve bugs and issues.
- Kafka/Spark/Databricks experience
- Experience with AWS
Nice To Have
- Participation in hackathons
- Experience with robotics, machine learning environments
- Data Pipelines Performance tuning and Optimization
Additional Requirements
- Willing to work extended hours and weekends if needed
- This position is based in our San Francisco office full time
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s