Data Engineer, Supply Chain Innovation

US, WA, Virtual Location - Washington

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Job summary
Amazon’s Global Supply Chain (GSC) team is looking for an experienced Data Engineer to join our Supply Chain Innovation (SCI) team. SCI is at the forefront of ideating, implementing, and executing cutting edge supply chain solutions that will impact the cost, speed, placement, and overall resiliency of Amazon's fulfillment network.

High-quality data is crucial in enabling decision making. In this role, you will work closely with a group of Product Managers, Supply Chain Managers, Research Scientists, and BI Engineers to create the data infrastructure necessary to drive our org's multifaceted supply chain initiatives. You will implement technologies to give users timely, flexible and structured access to data on inventory movements across inbound process paths, building types, and under-the-roof operations to improve decision-making capability for topology, capacity, demand forecast, and more.

We are looking for a self-starter who has excellent problem investigation abilities, and the ability to synthesize data into crisp and clear recommendations for scientists and product leaders. You should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to generate insights that solve business needs.

Key job responsibilities
• Develop the end-to-end automation of data pipelines, making datasets readily-consumable by visualization tools and network optimization platforms
• Optimize cluster usage, security, and monitoring to meet the needs of various business units
• Partner with scientists, product managers, BIEs, SDEs, and supply chain experts to deliver big data architectures for experimental and production consumption
• Act as the subject matter expert for the data structure and usage

Basic Qualifications


• 3+ years of industry experience in Data Engineering, BI Engineer, or related field with a track record of manipulating, processing, and extracting value from large datasets
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline
• Hands-on experience and advanced knowledge of SQL and Python (or any scripting languages).
• Demonstrated strength in Data Modeling, ETL Development, and Data Warehousing

Preferred Qualifications

• Masters in computer science, mathematics, statistics, economics, or other quantitative fields.
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue).
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
• Experience providing technical leadership and educating other engineers for best practices on data engineering.
• Background in Big Data, non-relational databases, Machine Learning and Data Mining is a plus.


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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Big Data Computer Science Data Mining Data pipelines Data Warehousing Economics Engineering ETL Machine Learning Mathematics Pipelines Python RDBMS Redshift Research Security SQL Statistics

Perks/benefits: Flex hours

Regions: Remote/Anywhere North America
Country: United States
Job stats:  9  5  0

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