$105700 - $205600 Year
Monday to Friday
Morning shift
Day shift
Evening shift
Night shift
Health insurance
Paid time off
Employee discount
Dental insurance
Vision insurance
401(k)
401(k) matching
Flexible schedule
Parental Leave
Tuition reimbursement
Flexible spending account
Retirement plan
Others
Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for scientists, engineers and program managers for a variety of roles.
To this end, the Amazon Fulfillment Technologies AI team is seeking a Data Engineer. As a Data Engineer, you will be responsible for the design and development of the data, metrics and reporting platforms for our team. You will implement new and automated data solutions, including big data capabilities, that support our scientists, analysts, and engineers, with large-scale data for training machine learning models, enabling metrics to evaluate their worthiness, while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies.
Key job responsibilities
- Implement solutions for data storage, reporting, science and analytics.
- Incorporate big data solutions to enhance machine learning, computer vision, analytics and reporting capabilities.
- Monitor and troubleshoot operational or data issues in the data pipelines.
- Work across teams to gather requirements for data logging, storing, transforming, and reporting, and build scalable solutions.
A day in the life
Amazon offers a full range of benefits that support 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!
About the team
Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
BASIC QUALIFICATIONS
- 3+ 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
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.
Communication
Leadership
Teamwork
Interpersonal
Learning/adaptability
Self-management
Organizational
Computer
Problem solving
Open mindedness
Strong work ethic
technology
Others
3+ 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
Business administration
On going position
In-person