Job Information
Amazon Sr. Data Engineer, GO-AI Technology & Development Team in N Reading, Massachusetts
Description
Amazon Robotics is at the forefront of applying state-of-the-art AI to solve real-world challenges at unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art artificial intelligence. We partner with customers across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation.
Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. GO-AI’s Technology & Development Team is a cross-functional team of Data Engineers, Software Developers, Applied Scientists, 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. 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:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
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
7+ years of data engineering experience
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
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 and/or robotic solutions
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, MA, Boston - 154,600.00 - 209,100.00 USD annually
USA, MA, N.Reading - 154,600.00 - 209,100.00 USD annually
USA, MA, Westboro - 154,600.00 - 209,100.00 USD annually
USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually