Data Engineer II, Managed Operations Intelligence (MOI) Team Data Engineering
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Job Location:
Arlington, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
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!
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.
As a Data Engineer on the Managed Operations Intelligence (MOI) team your technical skills and analytical mindset will be utilized designing and building some of the worlds most extensive data sets helping to craft AWS strategic this role you will collaborate with software engineering data science and product management teams to design/build scalable data solutions across AWS to optimize growth strategy and user experience across AWS.
This role will sit in our new headquarters in Northern Virginia where Amazon will invest $2.5 billion dollars occupy 4 million square feet of energy efficient office space and create at least 25000 new full-time jobs. Our employees and the neighboring community will also benefit from the associated investments from the Commonwealth including infrastructure updates public transportation improvements and new access to Reagan National Airport.
By working together on behalf of our customers we are building the future one innovative product service and idea at a time. Are you ready to embrace the challenge Come build the future with us.
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.
- Design provision and maintain scalable data infrastructure on AWS (Glue Lake Formation S3) to support ingestion transformation and governance of operational data across dev gamma and production environments.
- Documentation & Continuous Improvement: Create enhance and maintain technical documentation
A day in the life
Data Engineering: Guide teams in building optimal data artifacts (datasets visualizations) to address key questions. Refine systems design solutions and create scalable data models. Ensure data security and quality while suggesting efficient architecture development approaches and data management standards for complex analytical problems.
Product Leadership: Use data to identify opportunities and tackle challenges. Ensure data artifacts/components deliver value by supporting AWS strategy and driving innovative solutions.
Communication and Influence: Tell data-driven stories that convince and influence partners. Build credibility with clear insights structured recommendations and serve as a trusted partner within the organization.
About the team
Why AWS
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS 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.
About 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.
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & 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.
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.
- 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.
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.
As a Data Engineer on the Managed Operations Intelligence (MOI) team your technical skills and analytical mindset will be utilized designing and building some of the worlds most extensive data sets helping to craft AWS strategic this role you will collaborate with software engineering data science and product management teams to design/build scalable data solutions across AWS to optimize growth strategy and user experience across AWS.
This role will sit in our new headquarters in Northern Virginia where Amazon will invest $2.5 billion dollars occupy 4 million square feet of energy efficient office space and create at least 25000 new full-time jobs. Our employees and the neighboring community will also benefit from the associated investments from the Commonwealth including infrastructure updates public transportation improvements and new access to Reagan National Airport.
By working together on behalf of our customers we are building the future one innovative product service and idea at a time. Are you ready to embrace the challenge Come build the future with us.
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.
- Design provision and maintain scalable data infrastructure on AWS (Glue Lake Formation S3) to support ingestion transformation and governance of operational data across dev gamma and production environments.
- Documentation & Continuous Improvement: Create enhance and maintain technical documentation
A day in the life
Data Engineering: Guide teams in building optimal data artifacts (datasets visualizations) to address key questions. Refine systems design solutions and create scalable data models. Ensure data security and quality while suggesting efficient architecture development approaches and data management standards for complex analytical problems.
Product Leadership: Use data to identify opportunities and tackle challenges. Ensure data artifacts/components deliver value by supporting AWS strategy and driving innovative solutions.
Communication and Influence: Tell data-driven stories that convince and influence partners. Build credibility with clear insights structured recommendations and serve as a trusted partner within the organization.
About the team
Why AWS
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS 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.
About 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.
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & 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.
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.
- 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.
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 VA Arlington - 132100.00 - 178800.00 USD annually
Required Experience:
IC
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