Data Platform Engineer: Automation & Analytics

Amazon; Factoria (WA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a Data Engineer to design, implement, and support scalable data infrastructure for Worldwide Operations Finance Standardization & Automation (S&A). You will build ETL pipelines, integrate diverse data sources, and enable reporting, analytics, GenAI models, and ad-hoc data requests.

The role requires 3+ years in data engineering, experience with AWS Redshift/S3/Glue, EMR, Airflow, Spark, and Python/Scala, plus a Bachelor's degree.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Bachelor's degree.
• Experience in at least one modern scripting or programming language (Python, Java, Scala, or NodeJS).
• Knowledge of distributed systems as it relates 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 and analytics infrastructure for 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.
• Participate in code reviews and design discussions while improving reporting processes and automating self-service support.
• Identify and implement process improvements to drive innovation and scale solutions.
• Diagnose and resolve operational issues to maintain high availability.

Skills

3+ years of data engineering

Data modeling & warehousing

Python/Java/Scala

Distributed systems

Education

Bachelor's degree

Tools

Airflow

Spark

SQL

Python

Scala

Java

Job description

Amazon.com Services LLC is seeking a Data Engineer to design, implement, and support scalable data infrastructure for Worldwide Operations Finance Standardization & Automation (S&A). You will build ETL pipelines, integrate diverse data sources, and enable reporting, analytics, GenAI models, and ad-hoc data requests.

The role requires 3+ years in data engineering, experience with AWS Redshift/S3/Glue, EMR, Airflow, Spark, and Python/Scala, plus a Bachelor's degree.