Data Platform Engineer: Scalable Pipelines & Analytics

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

Benefits offered by this job

Health insurance

RSUs (restricted stock units)

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC is seeking a Data Engineer to standardize data platforms and automate data engineering, enabling trusted data for Operations Finance customers. You will design scalable data infrastructure, build data pipelines, and support data models for reporting, analytics, GenAI, and ad-hoc requests.

You will work with AWS services like Redshift, S3, Glue, and EMR, using Python, Spark, and SQL to deliver resilient data services and governance across a large warehouse environment.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Bachelor's degree.
• Experience in at least one modern scripting or programming 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.
• 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.
• 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 continually improving reporting processes and automating self-service support.
• Identify and implement process improvements to drive innovation and scale existing solutions.

Skills

Data engineering

Data modeling

ETL pipelines

Distributed systems

Education

Bachelor's degree

Tools

Python

Java

Scala

NodeJS

AWS Redshift

Amazon S3

AWS Glue

Amazon EMR

Kinesis

Firehose

Lambda

IAM

Job description

Amazon.com Services LLC is seeking a Data Engineer to standardize data platforms and automate data engineering, enabling trusted data for Operations Finance customers. You will design scalable data infrastructure, build data pipelines, and support data models for reporting, analytics, GenAI, and ad-hoc requests.

You will work with AWS services like Redshift, S3, Glue, and EMR, using Python, Spark, and SQL to deliver resilient data services and governance across a large warehouse environment.