Data Engineer II, OTS - Data ANCHOR Team
About The Position
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 OpsTech 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.
Requirements
- 3+ years of data engineering experience
- 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL and Python scripting
- Experience in software development, or experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology or related fields
Nice To Haves
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Responsibilities
- 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.
Benefits
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
- sign-on payments
- restricted stock units (RSUs)
- 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
- parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
