Data Engineer, Nimble Robotics

Salary not provided

+ Equity

AWS
Python
Java
Kafka
Spark
Junior and Mid level
San Francisco Bay Area
Nimble Robotics

Fully autonomous fulfilment

Job no longer available

Nimble Robotics

Fully autonomous fulfilment

101-200 employees

B2BLogisticsManufacturingRoboticsAutomation

Job no longer available

Salary not provided

+ Equity

AWS
Python
Java
Kafka
Spark
Junior and Mid level
San Francisco Bay Area

101-200 employees

B2BLogisticsManufacturingRoboticsAutomation

Company mission

To enable affordable same-day fulfilment for every eCommerce retailer, large and small.

Role

Who you are

  • Fast learner, A-player, excellent work ethic, and ambitious
  • 2-4 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
  • Willing to work extended hours and weekends if needed

Desirable

  • Participation in hackathons
  • Experience with robotics, machine learning environments
  • Data Pipelines Performance tuning and Optimization

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, 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

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Insights

Top investors

-7% employee growth in 12 months

Company

Company benefits

  • Flexible PTO
  • Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family
  • Paid Parental Leave
  • Take the stress out of commuting with access to fully-paid parking spots
  • Gym Reimbursement
  • Enjoy unlimited free snacks and drinks in the office and catered meals 5 days a week
  • Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring
  • 401k
  • Once or twice a year, join the entire company for a trip to pause work, relax and have fun as a team in destinations like Tahoe and Vegas
  • Be an owner in Nimble through our equity program

Funding (last 2 of 3 rounds)

Oct 2024

$106m

SERIES C

Mar 2023

$65m

SERIES B

Total funding: $221m

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.

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Kirsty

Company Specialist at Welcome to the Jungle