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Remote Data Engineer - Amazon Pay (Entry-Level, $30/Hour)

Remote, USA Full-time Posted 2025-11-03

Job Highlights:

  • Position: Remote Data Engineer - Amazon Pay
  • Compensation: Competitive salary of $30/hour
  • Start Date: Immediate openings available
  • Company: Workwarp
  • Location: Remote

Join our team as a Remote Data Engineer and play a key role in driving automation for Amazon Pay. As a member of the Data Engineering group, you will design, build, and deliver high-performance, fault-tolerant data pipelines, working closely with cross-functional partners to translate raw data into actionable insights for stakeholders.

In this role, you will:

  • Design, implement, and support a platform offering ad-hoc access to large data sets
  • Interface with different technology groups to extract, transform, and load data from a wide variety of data sources
  • Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies
  • Model data and metadata for ad-hoc and pre-built reporting
  • Interface with business clients, collecting requirements and delivering complete reporting solutions
  • Build strong and scalable data integration (ETL) pipelines using SQL, Python, and Spark
  • Build and deliver high-quality data sets to support business analyst, data scientist, and customer reporting needs
  • Continuously improve ongoing reporting and analysis techniques, automating or simplifying self-service support for clients

About the Team:

The Amazon Pay Data Engineering and Analytics team's mission is to transform raw data into actionable insights. We do this by providing a single source of truth, standardized metrics, reporting with deep dive capabilities, producing ML models, and actionable insights to perceive growth opportunities and drive the Amazon pay flywheel.

Basic Qualifications:

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Experience with SQL
  • Experience with big data technology, including: Hadoop, Hive, Spark, EMR
  • Experience in at least one modern scripting or programming language, including: Python, Java, Scala, or Node.js

Desired Qualifications:

  • Experience with AWS technology, including: 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)

We Want to Hear From You!

If this role sounds like a perfect fit, don't hesitate. Apply today and let's build the future together.

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