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Data Platform Engineer, Fauna

Amazon

Data Platform Engineer, Fauna

Amazon

New York, NY, USA

·

On-site

·

Full-time

·

1w ago

We are looking for a Data Platform Engineer to build the foundational data systems that power our robotics and machine learning development. In this role, you will design and implement the infrastructure for collecting, storing, processing, and transforming the vast amounts of data generated by our robots—from sensor telemetry and video streams to operational logs and performance metrics.
You'll work closely with ML teams to ensure data is accessible, well-structured, and ready for training. Your work will enable research teams to iterate faster and operations teams to monitor fleet performance as we scale.

  • Key job responsibilities
  • Design and build scalable data pipelines for ingesting and processing robotics data (sensor streams, video, telemetry, logs)
  • Develop and maintain data storage solutions optimized for diverse data types and access patterns
  • Create tools and APIs for researchers and engineers to efficiently query and analyze large datasets
  • Build real-time data processing systems for monitoring robot fleet performance
  • Build and maintain data transformation pipelines that prepare robotics data for ML training
  • Collaborate with ML and robotics teams to ensure data platforms meet their evolving needs

About the team
Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces.
We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We’re changing that by developing tightly integrated hardware and software systems that make it faster, safer, and more intuitive to create real-world robotic products.
Our work spans the full stack: mechanical design, control systems, dynamic modeling, and intelligent software. The focus is not just functionality, but experience. We’re building robots that feel responsive, expressive, and genuinely useful.
At Fauna, you’ll work at the frontier of this space, helping define how robots move, manipulate, and interact with people in natural environments. It’s an opportunity to solve hard problems across hardware and software with a team focused on making robotics accessible and joyful to build.
If you care about making robotics real for everyone and building systems that are as delightful as they are capable, we’re interested in hearing from you.

Basic Qualifications

  • Bachelor's degree or above in computer science, computer engineering, or related field, or experience in data science, machine learning or data mining
  • 3+ years of data engineering experience
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Experience in Kafka, or experience in Hive/Spark/Hbase/Yarn and experience in software development
  • Experience with cloud computing technologies
  • Knowledge of distributed systems as it pertains to data storage and computing
  • Proficiency with data storage technologies (e.g., PostgreSQL, object storage)

Preferred Qualifications

  • Experience working with robotics or IoT data (time-series, video, point clouds)
  • Knowledge of streaming architectures and real-time analytics
  • Familiarity with ML techniques and how data preparation impacts model training
  • Experience with data cataloging, metadata management, and data discovery tools

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NY, New York - 145,300.00 - 196,600.00 USD annually

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关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge