Data Engineer II, Managed Operations Engineering & Data Science (MOEDS)
Data Engineer II, Managed Operations Engineering & Data Science (MOEDS)
Posted on :
30-07-2025
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1 Vacancy
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Monthly Salary
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Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
30-07-2025
Job Description
Amazon Web Services (AWS) is the world leader in providing a highly reliable scalable low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world!
Passionate about building owning and operating massively scalable systems Experienced in building and leading teams of highly competent software engineers Want to make a billion-dollar impact If so we have an exciting opportunity for you.
The AWS Managed Operations (MO) organization was founded in April 2023 with the objective to reduce operational load and toil through long-term engineering projects. MO is building the best-in-class engineering and operations team that will own the day-to-day operations for AWS Regions; improving the availability reliability latency performance and efficiency to operate AWS regions.
The Team: Were a small innovative lab inside AWS working on reducing operational load and toil through long-term engineering projects.
Our Data Science & Data Engineering teams harness the power of data science to identify operational trends across AWS to inform high-value investment decisions for our development teams to eliminate operational toil.
This position requires that the candidate selected be a U.S. Citizen.
10012
Key job responsibilities
- Collaboration and Product Development: Interact with business and software teams to understand their business requirements and operational processes to inform system design
- Data Modeling and Architecture: Develop robust data models and architectures that support the organizations data-driven initiatives ensuring data quality consistency and accessibility.
- Data Pipeline Development: Design build and maintain efficient scalable and reliable data pipelines to ingest transform and load data from various sources into a unified data platform.
- Scalability and Performance: Design and implement scalable data solutions that can handle increasing data volumes and support high-performance data access and querying.
- Documentation & Continuous Improvement: Create enhance and maintain technical documentation
A day in the life
Step into our state-of-the-art innovation lab within AWS where were pushing the boundaries of whats possible in cloud management. Our mission is to create a paradigm shift in operational efficiency through long-term engineering initiatives.
Join our Data Science & Data Engineering teams as we harness the full potential of advanced analytics machine learning and artificial intelligence. Were not just analyzing data were decoding the DNA of AWS operations to drive high-impact investment decisions and eliminate operational toil. The Data Engineering team is a critical component of this process democratizing data ensuring highly scalable and highly available solutions to serve our customers.
What we offer:
- Advanced tech stack including the latest in big data technologies (AWS Glue Apache Airflow etc.) AI/ML and cloud-native tools (CloudFormation etc.).
- Opportunity to work on projects that impact millions of AWS customers worldwide
- Collaboration with some of the brightest minds in cloud computing and data science
- Chance to shape the future of cloud operations and set new industry standards
About the team
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (IoT) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences and conferences inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- 5 years of data engineering experience
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
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.
Passionate about building owning and operating massively scalable systems Experienced in building and leading teams of highly competent software engineers Want to make a billion-dollar impact If so we have an exciting opportunity for you.
The AWS Managed Operations (MO) organization was founded in April 2023 with the objective to reduce operational load and toil through long-term engineering projects. MO is building the best-in-class engineering and operations team that will own the day-to-day operations for AWS Regions; improving the availability reliability latency performance and efficiency to operate AWS regions.
The Team: Were a small innovative lab inside AWS working on reducing operational load and toil through long-term engineering projects.
Our Data Science & Data Engineering teams harness the power of data science to identify operational trends across AWS to inform high-value investment decisions for our development teams to eliminate operational toil.
This position requires that the candidate selected be a U.S. Citizen.
10012
Key job responsibilities
- Collaboration and Product Development: Interact with business and software teams to understand their business requirements and operational processes to inform system design
- Data Modeling and Architecture: Develop robust data models and architectures that support the organizations data-driven initiatives ensuring data quality consistency and accessibility.
- Data Pipeline Development: Design build and maintain efficient scalable and reliable data pipelines to ingest transform and load data from various sources into a unified data platform.
- Scalability and Performance: Design and implement scalable data solutions that can handle increasing data volumes and support high-performance data access and querying.
- Documentation & Continuous Improvement: Create enhance and maintain technical documentation
A day in the life
Step into our state-of-the-art innovation lab within AWS where were pushing the boundaries of whats possible in cloud management. Our mission is to create a paradigm shift in operational efficiency through long-term engineering initiatives.
Join our Data Science & Data Engineering teams as we harness the full potential of advanced analytics machine learning and artificial intelligence. Were not just analyzing data were decoding the DNA of AWS operations to drive high-impact investment decisions and eliminate operational toil. The Data Engineering team is a critical component of this process democratizing data ensuring highly scalable and highly available solutions to serve our customers.
What we offer:
- Advanced tech stack including the latest in big data technologies (AWS Glue Apache Airflow etc.) AI/ML and cloud-native tools (CloudFormation etc.).
- Opportunity to work on projects that impact millions of AWS customers worldwide
- Collaboration with some of the brightest minds in cloud computing and data science
- Chance to shape the future of cloud operations and set new industry standards
About the team
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (IoT) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences and conferences inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- 5 years of data engineering experience
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
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.
Employment Type
Full-Time
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