Data Engineer II, Data Management Team
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Job Location:
Herndon, VA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Department:
Job Summary
Amazon Web Services (AWS) World-Wide Public Sector Reporting and Analytics team is seeking a Data Engineer with broad technical skills to help build the infrastructure and tools required to support our Global Sales & Operations Organizations.
In this role the ideal candidate will be responsible for developing and managing big data systems using advanced data engineering knowledge in the data warehousing space and redefining best practices with a cloud-based approach to scalability and automation. Additionally you will be responsible for scaling our existing infrastructure incorporating new data sources and building robust data pipelines for production level partnership with machine learning engineers business intelligence engineers and analysts you will work backwards from our business questions to build reliable and scalable data solutions to meet the business needs. Finally this individual will work closely with project management teams to ensure proper guidance use cases and documentation is available to our Sales and Operations teams.
Key job responsibilities
Responsibilities include:
- Architect and implement scalable reliable and secure data pipelines and infrastructure to support analytics reporting and business operations.
- Design develop implement test document and operate large-scale high-volume high-performance data structures for business intelligence analytics.
- Build robust and scalable data integration (ETL) pipelines using SQL Python and AWS services such as Data Pipelines Glue
- Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large multi-dimensional datasets and multiple sources.
- Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Mentor junior data engineers.
- Manage AWS resources including EC2 Redshift S3 etc. Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
- Participating in the full development life cycle end-to-end from design implementation and testing to documentation delivery support and maintenance to produce comprehensive usable dataset documentation and metadata.
About the team
About the team
About AWS
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.
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.
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 including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
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.
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
- 3 years of data engineering experience
- 1 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 OLAP technologies experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
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.
In this role the ideal candidate will be responsible for developing and managing big data systems using advanced data engineering knowledge in the data warehousing space and redefining best practices with a cloud-based approach to scalability and automation. Additionally you will be responsible for scaling our existing infrastructure incorporating new data sources and building robust data pipelines for production level partnership with machine learning engineers business intelligence engineers and analysts you will work backwards from our business questions to build reliable and scalable data solutions to meet the business needs. Finally this individual will work closely with project management teams to ensure proper guidance use cases and documentation is available to our Sales and Operations teams.
Key job responsibilities
Responsibilities include:
- Architect and implement scalable reliable and secure data pipelines and infrastructure to support analytics reporting and business operations.
- Design develop implement test document and operate large-scale high-volume high-performance data structures for business intelligence analytics.
- Build robust and scalable data integration (ETL) pipelines using SQL Python and AWS services such as Data Pipelines Glue
- Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large multi-dimensional datasets and multiple sources.
- Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Mentor junior data engineers.
- Manage AWS resources including EC2 Redshift S3 etc. Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
- Participating in the full development life cycle end-to-end from design implementation and testing to documentation delivery support and maintenance to produce comprehensive usable dataset documentation and metadata.
About the team
About the team
About AWS
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.
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.
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 including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.
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.
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
- 3 years of data engineering experience
- 1 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 OLAP technologies experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
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
USA VA Herndon - 132100.00 - 178800.00 USD annually
Required Experience:
IC
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