Senior Data Engineer, Infrastructure Reliability
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Job Location:
Austin, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Join Amazons Fulfillment Technologies & Robotics (FTR) team to build the data foundation powering the next generation of AI-enabled infrastructure reliability a platform designed to keep Amazons global fulfillment network running continuously moving toward fully autonomous zero-touch operations.
As a Data Engineer III on the Infrastructure Reliability team you will design build and scale the data pipelines models and warehousing infrastructure that feed machine learning systems multi-agent orchestration platforms and real-time observability tools across thousands of fulfillment sites. Your work will be operationally critical technically motivated and globally impactful. If you are energized by hard data problems at enormous scale and want your work to matter in production every single day this is the role for you.
Key job responsibilities
- Design build and maintain scalable ETL/ELT pipelines that ingest transform and serve operational data from thousands of fulfillment sites to ML models detection systems and dashboards
- Develop and own data models that guide AI-powered progressive incident detection consolidation and remediation orchestration across cross-domain fulfillment systems
- Partner closely with data scientists software engineers and product managers to define data requirements validate feature engineering approaches and ensure model-ready data pipelines are reliable and low-latency
- Build and operate large-scale data warehouse solutions on AWS (Redshift S3 Glue EMR Spark) supporting both batch and near-real-time workloads
- Establish and enforce data quality frameworks monitoring and alerting to ensure the reliability of data feeding autonomous operational systems where data errors carry real operational risk
- Define and implement data governance standards access patterns and documentation so that data assets are discoverable trustworthy and reusable across teams
- Mentor junior data engineers on best practices in pipeline design code quality testing and data modeling
- Identify and eliminate bottlenecks in existing data infrastructure continuously improving pipeline performance cost efficiency and maintainability
A day in the life
You start the morning reviewing pipeline health dashboards and triaging any data quality alerts before the ML team begins model training runs. Mid-morning you join a working session with a data scientist to align on feature definitions for a new anomaly detection model pulling sample data to validate assumptions together. After lunch you spend focused time extending a near-real-time ingestion pipeline to support a new incident signal from a robotics domain team. You close the day in a design review with a senior engineer walking through your proposed schema changes for a new consolidated incident data model. No two days are exactly the same but every day your work is directly enabling a platform that keeps Amazons fulfillment network running.
Amazon offers a full range of benefits that support you and eligible family members including domestic partners. 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:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
The Infrastructure Reliability team sits within Amazons Robotics organization and operates as the cross-domain orchestration layer for a fulfillment network that processes customer orders continuously across thousands of global sites. Our mission is straightforward and non-negotiable: operations never stop no matter what breaks.
We do not own any single fulfillment domain instead we build the platform that sees across all of them detecting failures that cross team boundaries and coordinating resolution faster than any single team could manage alone. We are now investing heavily in AI-powered detection multi-agent remediation orchestration and unified observability moving from rule-based approaches toward LLM-powered autonomous resolution at scale.
We value technical rigor customer obsession and hands-on depth. We are a small team working on a large and growing problem and every team member has meaningful influence over technical direction. If you want to work on something that is technically fascinating operationally critical and commercially enormous this is the team for you.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience mentoring team members on best practices
- Experience building data products incrementally and integrating and managing data sets from multiple sources
- Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
- Masters 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
As a Data Engineer III on the Infrastructure Reliability team you will design build and scale the data pipelines models and warehousing infrastructure that feed machine learning systems multi-agent orchestration platforms and real-time observability tools across thousands of fulfillment sites. Your work will be operationally critical technically motivated and globally impactful. If you are energized by hard data problems at enormous scale and want your work to matter in production every single day this is the role for you.
Key job responsibilities
- Design build and maintain scalable ETL/ELT pipelines that ingest transform and serve operational data from thousands of fulfillment sites to ML models detection systems and dashboards
- Develop and own data models that guide AI-powered progressive incident detection consolidation and remediation orchestration across cross-domain fulfillment systems
- Partner closely with data scientists software engineers and product managers to define data requirements validate feature engineering approaches and ensure model-ready data pipelines are reliable and low-latency
- Build and operate large-scale data warehouse solutions on AWS (Redshift S3 Glue EMR Spark) supporting both batch and near-real-time workloads
- Establish and enforce data quality frameworks monitoring and alerting to ensure the reliability of data feeding autonomous operational systems where data errors carry real operational risk
- Define and implement data governance standards access patterns and documentation so that data assets are discoverable trustworthy and reusable across teams
- Mentor junior data engineers on best practices in pipeline design code quality testing and data modeling
- Identify and eliminate bottlenecks in existing data infrastructure continuously improving pipeline performance cost efficiency and maintainability
A day in the life
You start the morning reviewing pipeline health dashboards and triaging any data quality alerts before the ML team begins model training runs. Mid-morning you join a working session with a data scientist to align on feature definitions for a new anomaly detection model pulling sample data to validate assumptions together. After lunch you spend focused time extending a near-real-time ingestion pipeline to support a new incident signal from a robotics domain team. You close the day in a design review with a senior engineer walking through your proposed schema changes for a new consolidated incident data model. No two days are exactly the same but every day your work is directly enabling a platform that keeps Amazons fulfillment network running.
Amazon offers a full range of benefits that support you and eligible family members including domestic partners. 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:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
The Infrastructure Reliability team sits within Amazons Robotics organization and operates as the cross-domain orchestration layer for a fulfillment network that processes customer orders continuously across thousands of global sites. Our mission is straightforward and non-negotiable: operations never stop no matter what breaks.
We do not own any single fulfillment domain instead we build the platform that sees across all of them detecting failures that cross team boundaries and coordinating resolution faster than any single team could manage alone. We are now investing heavily in AI-powered detection multi-agent remediation orchestration and unified observability moving from rule-based approaches toward LLM-powered autonomous resolution at scale.
We value technical rigor customer obsession and hands-on depth. We are a small team working on a large and growing problem and every team member has meaningful influence over technical direction. If you want to work on something that is technically fascinating operationally critical and commercially enormous this is the team for you.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience mentoring team members on best practices
- Experience building data products incrementally and integrating and managing data sets from multiple sources
- Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
- Masters 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 for more information. If the country/region youre applying in isnt 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 MA Boston - 154600.00 - 209100.00 USD annually
USA TN Nashville - 146900.00 - 198700.00 USD annually
USA TX Austin - 154600.00 - 209100.00 USD annually
USA VA Arlington - 154600.00 - 209100.00 USD annually
USA WA Bellevue - 154600.00 - 209100.00 USD annually
Required Experience:
Senior IC
Key Skills
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