Data Engineer, Global Ops Finance and Analytics

Amazon Inc.; Bellevue (WA); On-site; USD 101,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Bellevue, WA is seeking a Data Engineer to design, build, and operate scalable data pipelines powering reporting, analytics, ML models, and finance solutions across the organization.

You will partner with finance, BI engineers, and product teams to gather requirements, ensure data quality, and drive self‑service analytics. The role emphasizes reliability and scalable data architecture in a large, complex warehouse environment.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
• Experience with one or more scripting language (e.g., Python, KornShell).
• Experience with AI-assisted development tools in day-to-day engineering work.

Responsibilities

• Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda).
• Architect scalable data pipelines that power customer reporting and analytics infrastructure for internal Finance customers.
• Integrate data across heterogeneous sources: extracting, transforming, and loading with a focus on data quality and sound design trade-offs.
• Partner with finance managers, developers, and BI Engineers to deliver data architecture projects and next‑generation financial solutions.
• Drive engineering excellence through code reviews, design discussions, and team planning; continually improving reporting processes and expanding self‑service automation.
• Identify and implement process improvements that scale existing solutions, launch new ones, and drive innovation based on stakeholder needs.
• Own operational reliability: diagnosing and resolving issues through rigorous root cause analysis to maintain high system availability.

Skills

Data engineering

ETL pipelines

Python

Spark

SQL

AWS services

AI-assisted dev tools

Tools

AWS (S3, Glue, Redshift, MWAA, EMR, Lambda)

Hadoop

Hive

Spark

Informatica

Job description

Amazon in Bellevue, WA is seeking a Data Engineer to design, build, and operate scalable data pipelines powering reporting, analytics, ML models, and finance solutions across the organization.

You will partner with finance, BI engineers, and product teams to gather requirements, ensure data quality, and drive self‑service analytics. The role emphasizes reliability and scalable data architecture in a large, complex warehouse environment.