Data Engineer II, OTS - Data ANCHOR Team

Amazon; Austin (TX); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC is seeking a Data Engineer to design and maintain scalable ETL/ELT pipelines powering OpsTech IT. You will build ML-ready data infrastructure, collaborate with data scientists and engineers, and contribute to GenAI-driven reporting and analytics across Amazon’s global operations.

The role emphasizes end-to-end project delivery, data governance, and implementing best practices in data engineering, with opportunities to grow the technical scope and influence within the

Qualifications

• 3+ years of data engineering experience.
• 3+ years of ETL/ELT development and operations for BI analytics.
• 1+ years of SQL experience in BI analytics.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience delivering end-to-end projects independently.

Responsibilities

• Design and maintain production-grade ETL/ELT pipelines and big data infrastructure.
• Build feature engineering workflows and ML-ready data pipelines.
• Contribute to data governance and quality standards.
• Support GenAI solutions for automated reporting, diagnostics, and analytics.
• Build semantic layers and dashboard data models for worldwide operations.
• Collaborate with cross-functional teams to prioritize work.
• Follow best practices for code reviews, testing, monitoring, and documentation.

Skills

Data engineering

ETL/ELT

SQL

Data modeling

End-to-end projects

Education

Master's degree in CS/engineering or analytics

Tools

Python

Java

C++

Kafka

Kinesis

Flink

Storm

Beam

Job 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 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.

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 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.

Key job 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.

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:

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

Basic Qualifications

• 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 working on and delivering end to end projects independently

Preferred Qualifications

• 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, PowerShell, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Austin - 132,100.00 - 178,800.00 USD annually

Company

- Amazon.com Services LLC