Data Engineer, Global Planning

Amazon Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bellevue, WA
Salary
$132,100–$178,800 / yr
Posted
42 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k
This role $155k
$125k most similar roles pay here $202k

This role pays less than 68% of similar roles. Most pay $148,700–$177,900 — the shaded band above. At the midpoint, this role pays about $155k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Amazon Inc

Amazon Inc. is the world''s largest e-commerce and cloud computing company, operating the Amazon marketplace, AWS cloud platform, Prime subscription services, Alexa voice AI, and logistics infrastructure. Industry: E-Commerce & Cloud Computing

Amazon Inc currently has 457 open roles on FindRole.

Listed pay typically runs $143,700–$194,400 across 447 roles with salary data.

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View all roles at Amazon Inc

At a glance

TL;DR · Data Engineer, Global Planning

Data Engineer, Global Planning, Amazon Leo joins the Global Planning team to build enterprise-grade data infrastructure and assets supporting Demand Science, forecasting models, and capacity planning systems for a low Earth orbit satellite network. The role involves designing data architecture, developing production-level ETL pipelines from internal and external APIs, and creating structured datasets for system inputs. You will collaborate with scientists and engineers to develop assets for statistical modeling and integration while implementing governance best practices for accuracy and compliance. Key technical requirements include proficiency in SQL, OLAP technologies, and data modeling. The role utilizes AWS big data tools including Glue, S3, Redshift, MWAA, EMR, Data Zone, Lambda, Kinesis, FireHose, and IAM roles. You will also manage non-relational databases and automate processes to improve the scale, quality, and performance of geospatial datasets.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Develop and maintain production-level ETL pipelines to ingest and transform geospatial datasets from internal and external APIs.
  • Build enterprise-grade data infrastructure using AWS technologies like Glue, S3, Redshift, and Lambda.
  • Design next-generation data architectures to improve the scale, quality, and performance of existing systems.
  • Create structured datasets for demand science, forecasting models, and capacity simulation systems.
  • Implement data governance best practices to ensure accuracy, consistency, and compliance with security regulations.
  • Build and manage data dictionaries, catalogs, and audit plans for all registered data assets.
  • Provide technical guidance and support to internal consumers using global planning data assets.

What we're looking for

  • Candidates must be a U.S. citizen, national, permanent resident, or granted asylum/refugee status for export control compliance.
  • At least 3 years of data engineering experience is required.
  • At least 1 year of experience developing and operating large-scale data structures using ETL/ELT processes.
  • At least 1 year of experience with OLAP technologies for business intelligence analytics.
  • At least 1 year of experience with data modeling for business intelligence analytics.
  • At least 1 year of experience using SQL for business intelligence analytics.
  • Experience with AWS services including Redshift, S3, Glue, EMR, Kinesis, FireHose, and Lambda is preferred.
  • Experience with non-relational databases such as object storage, document, key-value, graph, or column-family stores is preferred.

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