Data Engineer, Data Center Capacity Delivery

AWS Data Center Capacity Delivery (DCCD) is looking for a Data Engineer to support data center construction globally. You will join a diverse team of software, hardware, and network engineers, construction specialists, security experts, operations managers, and other vital roles to deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers.

You will help grow our Data Lake and Data Warehouse Systems built using a serverless architecture, leveraging 100% native AWS components including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, Cloud Watch, and more. Our world‑class data lake drives multi‑billion‑dollar decisions on a regular cadence, and we are focused on increasing its fill speed, reducing human intervention, and democratizing data.

Our Data Engineers build ETL and analytics solutions for internal customers, applying best practices in software engineering, data management, data storage, compute, and distributed systems.

• 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.

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• 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, Fire Hose, 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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t 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 .

USA, WA, Seattle -  -  USD annually

Amazon Data Services, Inc.

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