Data Engineer, Central InfraOps Analytics Team

As a Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization. The Infrastructure Operations Team is responsible for planning implementing monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations including but not limited to : Safety Security maintenance operations logistics engineering and equipment management.


Key job responsibilities
Design develop and maintain ETL pipelines to ingest data into the data warehouse and data lake
Create and optimize logical data models that drive physical design for the Infrastructure Operations organization
Implement data quality measures and ongoing monitoring to ensure data integrity
Build scalable efficient and maintainable data solutions that support business intelligence needs
Optimize data storage and query performance across various data platforms
Develop automated processes to replace manual data operations
Collaborate with business stakeholders to understand data and reporting requirements
Translate business questions into data solutions that drive decision-making
Mentor and develop peers in data engineering best practices
Participate in code reviews design discussions and team planning
Improve self-service access to data for business users
Enhance code quality and dependency management
Automate manual processes to increase efficiency
Identify and resolve root causes of complex data problems


A day in the life
At AWS the Data Engineer fully embraces the You Build It You Own It philosophy taking complete ownership of data solutions from conception through deployment and ongoing maintenance. You design architectures implement pipelines and remain responsible for their health and evolution as business needs change.

Each day begins with reviewing pipeline alerts and data quality metrics followed by a 15-30 minute team stand-up to align on priorities and discuss blockers. Youll spend time monitoring infrastructure reviewing logs for ETL pipeline health and data lake performance then dedicate time to address stakeholder queries and prioritizing incoming requests via email Slack and intake forms. The majority of your time is spent developing and maintaining ETL pipelines that ingest infrastructure operational data from global data centers which includes writing code debugging issues optimizing queries and implementing quality checks. The role requires frequent context switching between developing new data models supporting existing infrastructure and consulting on data utilization.

Key challenges youll tackle include unifying and understanding fragmented data from diverse data center systems enabling infrastructure monitoring supporting analytics for capacity planning driving optimization through data insights automating manual processes creating self-service access for business users maintaining quality across massive datasets ensuring compliance with strict security requirements designing for scale as AWS expands globally and modernizing legacy systems to reduce technical debt.


About the team
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.
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- 3 years of data engineering experience
- 3 years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS

- 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)
- Knowledge of batch and streaming data architectures like Kafka Kinesis Flink Storm Beam
- Experience working on and delivering end to end projects independently

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 Herndon - 132100.00 - 178800.00 USD annually