Data Engineer, Nimble Robotics
$140-190k
+ Equity
Autonomous logistics powered by generalist superhumanoid robots
Job no longer available
Autonomous logistics powered by generalist superhumanoid robots
201-500 employees
Job no longer available
$140-190k
+ Equity
201-500 employees
Company mission
To enable affordable same-day fulfilment for every eCommerce retailer, large and small.
Role
Who you are
- 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
- Willing to work extended hours and weekends if needed
- This position is based full time in our San Francisco headquarters
Desirable
- Experience with modern data engineering tools like Databricks, Clickhouse, DeltaLake, Apache Iceberg, Apache Flink, Parquet, Apache, Arrow Airflow
- Experience with Robotics, Machine Learning and Mechanical Engineering
What the job involves
- 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
Our take
Assembly lines are valuable workflows for eCommerce businesses, but most of these are still handled by humans. The manufacturing process of most products is repetitive and algorithmic, raising questions as to why humans are still required for the job.
Nimble Robotics provides robotic solutions for automated end-to-end manufacturing, including piece-picking, sorting and packing. The services are aimed towards an eCommerce audience, reducing unnecessary staffing costs and increasing efficiency and workflow. To do this, they use robots which are capable of picking apparel, electronics, accessories, convenience items, groceries, beauty products, shoes, and more with 99.9% accuracy at 700+ UPH.
Nimble's robots are customized for every client to ensure the workflow fits their manufacturing needs. The company's network of warehouses is set to provide brands with 1-2 day services for +96% of the U.S. population, meaning Nimble is well set to see substantial growth, especially after its impressive Series A financing. This will enable it to accelerate hiring, product and technology development whilst scaling its product.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Oct 2024
$106m
SERIES C
Mar 2023
$65m
SERIES B
Total funding: $221m
Company HQ
SoMa, San Francisco, CA
Leadership
Simon Kalouche
(Founder & CEO)Simon previously worked as a Robotics Engineer for NASA Jet Propulsion Lab and was a Robotics & Mechatronics Engineer for HEBI Robotics.
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