Data Engineer, AWS DC Central Operations

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.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

As a Data Engineer on our team youll work with technologies and complex data environments. Youll be responsible for enhancing our existing data architecture to further standardize metrics and definitions developing end-to-end data engineering solutions for complex analytical problems and collaborating with business intelligence engineer and software engineers to translate data into actionable insights.

Our Data Engineers build the ETL and analytics solutions for our internal customers to answer questions with data and drive critical improvements for the business. Our Data Engineers use best practices in software engineering data management data storage data compute and distributed systems. We are passionate about solving business problems with data!

Key job responsibilities
- Develop and maintain automated ETL pipelines (with monitoring) using scripting languages such as Python Spark SQL and AWS services such as S3 Glue Lambda SNS SQS KMS.
- Implement and support reporting and analytics infrastructure for internal business customers.
- Develop and maintain data security and permissions solutions for enterprise scale data warehouse and data lake implementations including data encryption and database user access controls and logging.
- Develop data objects for business analytics using data modeling techniques.
- Develop and optimize data warehouse and data lake tables using best practices for DDL physical and logical tables data partitioning compression and parallelization.
- Develop and maintain data warehouse and data lake metadata data catalog and user documentation for internal business customers.
- Work with internal business customers and software development teams to gather and document requirements for data publishing and data consumption via data warehouse data lake and analytics solutions.


A day in the life
Imagine a day where youre not just managing data but crafting intelligent systems that tell compelling stories. Youll dive into intricate data landscapes designing pipelines that seamlessly connect AWS Data Center datasets optimize performance and unlock hidden patterns. Your work will involve:

- Exploring innovative data transformation techniques
- Developing intelligent automated reporting solutions
- Collaborating with cross-functional teams to solve complex analytical challenges
- Researching emerging technologies that could revolutionize our data strategy

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.

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.

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.

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.


- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Knowledge of professional software engineering & best practices for full software development life cycle including coding standards software architectures code reviews source control management continuous deployments testing and operational excellence
- Bachelors degree in Computer Science Engineering Mathematics or a related field

- 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.