Sr. Data Engineer, GO-AI Technology & Development Team Full-time

Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers, which handle more individual items than any company in the world. We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. Our team works with a variety of customers across Amazon worldwide to conceive, develop, prototype and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations – Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support. GO-AI’s Technology & Development Team is a cross-functional team of Data Engineers, Software Developers, Technical Program Managers, and Business Intelligence Engineers who are responsible for the technical strategy and delivery for GO-AI.

Key job responsibilities

– Design, implement, and deploy GO-AI data solutions that are high quality (e.g., secure, testable, maintainable, low-defects, efficient, well documented etc.) and incorporate best practices.

– Focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve GO-AI’s data architecture, making it better and easier to maintain.

A day in the life

Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we’d still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

BASIC QUALIFICATIONS

– 5+ years of data engineering experience

– Experience with data modeling, warehousing and building ETL pipelines

– Experience with SQL

– Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

– Experience mentoring team members on best practices

– Have a solid understanding of data design approaches and how to best use them

– Bachelor’s degree in engineering, computer science or relevant field

PREFERRED QUALIFICATIONS

– Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, FireHose, Lambda, IAM roles and permissions, Athena, RDS, DynamoDB, and AWS Elastic Search

– Experience with relational and non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

– Experience coding in Python and typescript

– Experience designing and operating large data warehouses

– Experience writing REST APIs

– Experience working with cross-functional engineering teams developing artificial intelligence, machine learning, and/or robotic solutions

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.