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18d ago

Data Engineer, Prime Video - GSS Planning & Strategy

Amazon.com Services LLC Seattle, WA

Seattle, WA

18d ago

$132k - $179k/yr Full time Amazon Quicksight Analytics AWS

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Job Description

Data Engineer role within Prime Video Global Operations, onsite in Seattle, WA, offering USD 132,100 - 178,800 per year, focused on designing and scaling data infrastructure, pipelines, and AI-enabled analytics across marketing, finance, and cross-functional teams.

Responsibilities

Build and maintain scalable, automated data pipelines and ETL/ELT processes that ingest, transform, and deliver data to support reporting and analytics needs.
Design the data infrastructure to support agentic AI and Model Context Protocols (MCP), including structured pipelines, usage data capture, and systems for AI-powered self-service analytics and reporting.
Develop and manage data lakes, data warehouses, and APIs to provide reliable, performant access to clean, well-governed data; optimize storage, query performance, and AWS cost efficiency.
Model logical data structures that drive physical design, enabling BI and analytics teams to build self-service reporting on a solid foundation; assist with forecasting and capacity planning at scale.
Implement data quality programs with monitoring and alerting to ensure accuracy, completeness, and freshness; promote governance practices including lineage tracking, documentation, and access controls.
Lead the instrumentation strategy for key platforms to ensure comprehensive data capture across operational workflows.
Collaborate across BI engineers, analysts, operations, science, and technology teams to translate data requirements into scalable solutions.

Requirements

Bachelor's degree in business, engineering, statistics, computer science, mathematics, or a related field.
3+ years of data engineering experience.
3+ years of experience with big data technologies such as Hadoop, Hive, Spark, or EMR.
Experience with data modeling, warehousing, and building ETL/ELT pipelines.
4+ years of experience with one or more query languages (SQL, PL/SQL, DDL, HiveQL, SparkSQL, or Scala).
Experience with Python or another scripting language for data processing.
Knowledge of data schema design including normalization, relational models, and dimensional models.
Strong cross functional collaboration skills and effective written and verbal communication when interfacing with stakeholders, peers, and executives.
Familiarity with professional software engineering practices across the full software development life cycle, including coding standards, code reviews, source control, continuous deployments, testing, and operational excellence.
Experience using BI tools such as Tableau or QuickSight to visualize data.

Technologies

Hadoop
Hive
Spark
EMR
SQL
PL/SQL
DDL
HiveQL
SparkSQL
Scala
Python
Tableau
QuickSight
S3
Redshift
SageMaker
Kinesis
Lambda
EC2
Informatica
Airflow
ODI
SSIS
BODI
Datastage

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave

Preferred Qualifications

MS degree in engineering, technology, statistics, analytics, or finance preferred.
Experience using BI tools like Tableau or QuickSight to visualize data.
Experience developing, scaling, and governing global operations standards and infrastructure across matrixed organizations.
Experience with ETL tools such as Informatica, Airflow, ODI, SSIS, BODI, or Datastage.
Experience architecting and operating solutions built on AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2.
Experience in large-scale workforce, operations, or capacity planning functions.
Experience in data mining and working with large-scale, complex datasets in a business environment.
Experience in statistical analysis using R, SAS, or Matlab.

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