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Speak
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Data Engineer
Nimble Robotics San Francisco, CA
$143k-176k (estimate)
Full Time 3 Weeks Ago
Save

Nimble Robotics is Hiring a Data Engineer Near San Francisco, CA

About Nimble

Nimble is a robotics and AI startup founded from the AI labs at Stanford and Carnegie Mellon. We’re pioneering the way robots learn to grasp and manipulate any object.

Our ultimate goal is to enable the dark warehouse, a fully automated eCommerce fulfillment center with swarms of intelligent, cloud-connected robots to enable affordable same-day fulfillment for every retailer, large and small. In the process we aim to create one of the world’s most valuable robotics companies.

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)! 

https://www.youtube.com/watch?v=e3XPfrlkO7s

Nimble's Core Values:

1) Be relentlessly resourceful - Find a way to make the impossible, possible. Do whatever it takes.

2) Be legendary - Be the best at whatever it is that you do. Leave your mark. Motivate and inspire others.

3) Be humble - Leave your ego behind. Have a growth mindset. Learn and improve yourself every day.

4) 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!

\n

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
  • 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
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
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Culture:

We embrace challenges and strive to make the impossible possible each day. We’re not in this to do what’s easy or to be mediocre. We want to create something legendary and leave our mark on the world. We’re ambitious, we’re gritty, we’re humble and we’re relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit!

Press:

https://www.businesswire.com/news/home/20210311005117/en/Nimble-®-Robotics-Raises-

https://techcrunch.com/2021/03/11/nimble-robotics-scores-50m-for-its-fulfillment-automation-tech/

https://multichannelmerchant.com/operations/nimble-robotics-takes-in-50m-adds-ai-luminaries/

Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic protected by applicable state, federal or local laws.

Nimble's Benefits

Flexible PTO

Enjoy the time you need to travel, rejuvenate, and connect with friends and family.

Health Insurance

Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family.

Paid Parental Leave

Enjoy paid bonding time following a birth.

Commuter Benefits

Take the stress out of commuting with access to fully-paid parking spots. 

Referral Bonus

Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 

401k

Contribute towards a 401k for retirement planning.

Equity

Be an owner in Nimble through our equity program

Job Summary

JOB TYPE

Full Time

SALARY

$143k-176k (estimate)

POST DATE

05/24/2024

EXPIRATION DATE

07/22/2024

WEBSITE

nimble.ai

HEADQUARTERS

San Francisco, CA

SIZE

<25

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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