Data Engineering Manager, OTS - Data ANCHOR Team

Amazon; Austin (TX); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Paid Time Off (PTO)

401(k) Plan

Job summary

Amazon's OTS Data ANCHOR team seeks a senior data engineer and leader to build analytics powering Operations Technology. You will shape data infrastructure supporting OpsTech IT, delivering scalable data solutions that influence how Amazon fulfills millions of orders.

You will own delivery for ETL pipelines, establish data governance, and lead a team to adopt GenAI for automated reporting, diagnostics, and prescriptive analytics. Join a fast-paced environment focused on innovation and impact.

Qualifications

• 4+ years of processing data with massively parallel technology (Redshift, Hive, Spark, or Hadoop-based big data solution).
• 4+ years of developing and operating large-scale data structures for business intelligence analytics (ETL/ELT).
• 5+ years of data engineering experience.
• Experience leading and influencing the data or BI strategy of your team or organization.
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.

Responsibilities

• Delivery of robust, scalable data solutions supporting OTS data infrastructure.
• Leadership in data governance and quality standards.
• Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.
• Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.
• Collaborate with Program Managers, BI teams, and stakeholders to prioritize work aligned with OTS business goals.
• Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
• Drive team growth through mentoring, coaching, and career development.

Skills

Massively parallel data processing

Large-scale BI analytics

ETL/ELT development and operations

Data engineering leadership

Programming: Python, Java, Scala, or-?

Education

Master's degree or Bachelor's degree in CS/Engineering/Analytics

Tools

Redshift

Teradata

Netezza

Spark

Hadoop

Hive

EMR

AWS Redshift/S3/EC2

Job description

Description

Join the OTS Data ANCHOR team to build strategic analytics 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.

Key job responsibilities

• Delivery of robust, scalable data solutions supporting OTS data infrastructure.
• Leadership in data governance and quality standards.
• Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.
• Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.
• Collaborate with Program Managers, BI teams, and stakeholders to prioritize work aligned with OTS business goals.
• Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
• Drive team growth through mentoring, coaching, and career development.

A day in the life

Amazon Benefits

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

At Amazon, we value people with unique backgrounds, experiences, and skill sets. If you’re passionate about this role and want to make an impact on a global scale,

Basic Qualifications

• 4+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
• 4+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
• 5+ years of data engineering experience
• Experience leading and influencing the data or BI strategy of your team or organization
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with AWS Tools and Technologies (Redshift, S3, EC2)
• Master's degree
• Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
• Bachelor's degree, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

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 - 170,000.00 - 230,000.00 USD annually

Company - Amazon.com Services LLC

Job ID: A10469386