Sr. Data Engineer, Mechatronics and Sustainable Packaging

Amazon is seeking a Sr. Data Engineer for its Mechatronics and Sustainable Packaging team in North Bend, WA. The role involves designing AWS cloud infrastructure, developing ETL pipelines, and collaborating with various teams to enhance data access and quality. Candidates should have 5+ years of data engineering experience, knowledge of data modeling and warehousing, SQL skills, and proficiency in a programming language like Python or Java.
Description

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and youll fit right in here in Mechatronics and Sustainable Packaging Integrated Systems team. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers experiences in ways we cant imagine yet. We invent new improvements every day.

The packaging and sustainable packaging group develops robotic material handling products that increase the safety and efficiency of our fulfillment operations. Our products are deployed across the Amazon Fulfillment Network, automating material flow to reduce operational costs, increase throughput, and enable consistent quality. Our workcells are integrated into broader solutions for storage, packaging, sortation, and transportation of items and packages.

MSP is seeking a Data engineer to join a dynamic new data team that provides leadership for concept development, architecture, design and testing of robotics systems and industrial equipment. This is an opportunity to make your mark and shape how the team accesses, utilizes and distributes data that continues to inform critical decision making within the organization. Youll work closely with Business Intelligence Engineers, Data Scientists, Product Managers, Systems Engineers and more. In this role, you will:

Key job responsibilities

Key job responsibilities

Design, implement, and maintain AWS cloud infrastructure to support the storage, processing, and analysis of large data sets, ensuring security and scalability.

Develop ETL pipelines to ingest, transform, and store structured and unstructured data from various sources into AWS data stores such as S3, Redshift, and other internal Amazon platforms.

Collaborate with data scientists, analysts, and business intelligence teams to understand data needs and provide accessible, reliable data pipelines and solutions.

Automate data processes and workflows using AWS services such as Lambda, Glue for efficient data handling and processing.

Improve and raise the bar on proactive data quality monitoring and alarming (e.g., anomaly detection) across big data pipelines

Define the future of MSP Solutions data architecture

A day in the life

As a data engineer on this team, you will collaborate closely with MSP business leaders, data scientists and engineering leaders to build data solutions. You will leverage AWS technologies (S3, GLUE, KMS, Lambda, DynamoDB, etc.) to build novel systems and tackle challenges at scale. You will manipulate and process TB-sized data, supporting real-time access and orchestration across multiple systems. Your work will to enhance our scientific models and data applications. As a consequence, you will have global impact, improving customer experiences for Amazon customers worldwide. As a successful candidate, you will successfully interact with both technical and business stakeholders.

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

Preferred Qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

- Experience operating large data warehouses

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

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.