Data Engineer, OCEANS

Global technology company leading in e-commerce, cloud computing, and artificial intelligence
$91,200 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Enterprise SaaS

Description For Data Engineer, OCEANS

Join Amazon's OCEANS team as a Data Engineer and help shape the future of employee compensation for millions of employees worldwide. This role sits at the intersection of data, software, and science, working with cutting-edge AWS technologies including S3, Redshift, DynamoDB, Lambda, API's, Glue, MWAA, DataZone, and SageMaker.

As a Data Engineer, you'll be responsible for enhancing existing data architecture, standardizing metrics and definitions, and developing end-to-end data engineering solutions for complex analytical problems. You'll collaborate with analysts, data scientists, and software engineers to translate data into actionable insights that directly influence Amazon's global compensation strategy.

The role offers an opportunity to work with big data at scale, applying your expertise to build and maintain robust data pipelines, implement automated quality checks, and create scalable data models. You'll be part of a cutting-edge business intelligence and analytics unit that's revolutionizing how Amazon approaches employee compensation.

The position offers competitive compensation ranging from $91,200 to $185,000 based on location and experience, plus additional benefits including equity, sign-on payments, and comprehensive medical and financial benefits. This is an excellent opportunity for data professionals who want to make a significant impact on a global scale while working with advanced technologies and complex data environments.

Join a team that's directly influencing Amazon's growth trajectory through data-driven compensation strategies, ensuring fair, competitive, and forward-thinking pay practices that support the company's continued success and expansion.

Last updated 12 days ago

Responsibilities For Data Engineer, OCEANS

  • Managing data ingestion from heterogeneous data sources with automated quality checks
  • Creating scalable data models for effective data processing, storage, retrieval, and archiving
  • Using scripting for automation and tool development
  • Providing infrastructure for compensation analytics and science use cases
  • Using industry best practices in building CI/CD pipelines

Requirements For Data Engineer, OCEANS

Python
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL
  • Knowledge of software engineering best practices across the development life cycle
  • Experience with scripting languages (e.g., Python, KornShell, Scala)
  • Experience with query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • 1+ years of data engineering experience

Benefits For Data Engineer, OCEANS

Medical Insurance
Equity
  • Medical, financial, and other benefits
  • Equity compensation
  • Sign-on payments

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