Data Engineer: AI-Driven Analytics & Scalable Pipelines

Prime Video & Amazon MGM Studios

Seattle (WA)

On-site

USD 132,000 - 179,000

Full time

21 hours ago

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Job summary

Prime Video seeks a data engineer to design and scale data infrastructure powering reporting, analytics and AI-enabled insights. You will build robust ETL/ELT pipelines, integrate data across marketing, finance, and operations, and strengthen data governance and instrumentation across the platform.

The role emphasizes ownership, collaboration with BI, analytics, and tech teams, and delivering scalable solutions in a fast-paced environment with a focus on AI enablement.

Qualifications

Bachelor’s degree in a related field.
3+ years data engineering experience.
Experience with Hadoop, Hive, Spark, or EMR.
Experience with data modeling, warehousing, and building ETL/ELT pipelines.
Proficiency in SQL and Python.

Responsibilities

Design, develop, and maintain scalable data pipelines for reporting and analytics.
Architect data infrastructure for AI-enabled analytics and MCP.
Build data lakes, warehouses, and APIs ensuring reliable access to clean data.
Create logical data models to support self-service BI and forecasting.
Establish data quality, governance, and lineage tracking.

Skills

Big data technologies

ETL/ELT pipelines

SQL / SparkSQL

Python

Data modeling

BI visualization

Cross-team collaboration

Software engineering practices

Education

Bachelor's degree in related field

Tools

Hadoop

Hive

Spark

EMR

Airflow

Tableau/QuickSight

Redshift

SageMaker

AWS

Job description

The role emphasizes ownership, collaboration with BI, analytics, and tech teams, and delivering scalable solutions in a fast-paced environment with a focus on AI enablement.

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