Data Engineer II, OTS - Data ANCHOR Team

Description

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for Ops Tech IT, supporting Amazon's global customer commitment. You'll work at the intersection of large-scale data processing and real-world operational impact — creating intelligence that directly influences how Amazon fulfills millions of orders across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus.

As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon's global fulfillment and maintenance networks. You will design and implement ETL/ELT pipelines, build feature engineering workflows, and collaborate with Solution Architects, Data Engineers, Applied Scientists, and BIEs to deliver data products that drive measurable business outcomes.

You will contribute to Data Ops and AI‑intelligent data practices — including data versioning, pipeline monitoring, and model retraining data support — and help establish engineering best practices within the team. This role directly enables the team's mission to implement GenAI solutions for automated reporting, diagnostics, and predictive and prescriptive analytics across worldwide operations. This is a high‑impact individual contributor role with significant opportunity to grow technical scope and organizational influence at the intersection of data engineering, Data Science, and AI.

• Design, build, and maintain production‑grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.
• Build feature engineering workflows and ML‑ready data pipelines that support Data Science experimentation and production model serving.
• Contribute to data governance and quality standards across analytical and ML data products.
• Support implementation of GenAI solutions for automated reporting, diagnostic, predictive, and prescriptive analytics.
• Build and maintain semantic layers and dashboard data models that power worldwide operations business decisions.
• Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
• Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

• 3+ years of data engineering experience
• 3+ years of developing and operating large‑scale data structures for business intelligence analytics using ETL/ELT processes
• 1+ years of developing and operating large‑scale data structures for business intelligence analytics using SQL
• Experience with data modeling, warehousing and building ETL pipelines
• Experience working on and delivering end‑to‑end projects independently

• Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, Power Shell, Ruby
• Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam

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 (Use the "Apply for this Job" box below).

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