Data Platform Engineer — AWS, ETL & Analytics

Amazon; Irving (TX); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon in Irving, TX is seeking a Data Engineer to design, build, and operate scalable data platforms within the WW Ops S&A data ecosystem. You will partner with Finance, BI, and product teams to deliver reliable data, ETL pipelines, and analytics infrastructure across a large data warehouse.

The role emphasizes Python/Scala, SQL, Spark, and AWS services, with a focus on data quality, governance, and supporting reporting, GenAI models, and ad-hoc requests.

Qualifications

• 3+ years of data engineering experience.
• Experience in data modeling, warehousing and building ETL pipelines.
• Bachelor's degree.
• Experience in at least one modern scripting language such as Python, Java, Scala, or NodeJS.
• Knowledge of distributed systems as it pertains to data storage and computing.

Responsibilities

• Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda).
• Develop high-quality data architecture and scalable pipelines to support customer reporting needs, while implementing analytics infrastructure for internal Finance customers.
• Interface with technology teams to extract, transform, and load data from various sources, ensuring data quality and making design trade-offs.
• Collaborate with business users, developers, and BI Engineers to deliver on data architecture projects and next-generation financial solutions.
• Actively participate in code reviews, design discussions, and team planning, while improving reporting processes and automating self-service support.
• Identify and implement process improvements to drive innovation and scale existing solutions.
• Diagnose and resolve operational issues through root cause analysis, maintaining high system availability.

Skills

3+ years in data engineering

Data modeling

Data warehousing

ETL pipelines

Python

Java

Scala

NodeJS

Distributed systems

Education

Bachelor's degree

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS Lambda

AWS IAM

Job description

Amazon in Irving, TX is seeking a Data Engineer to design, build, and operate scalable data platforms within the WW Ops S&A data ecosystem. You will partner with Finance, BI, and product teams to deliver reliable data, ETL pipelines, and analytics infrastructure across a large data warehouse.

The role emphasizes Python/Scala, SQL, Spark, and AWS services, with a focus on data quality, governance, and supporting reporting, GenAI models, and ad-hoc requests.