Data Engineer, Global Operations — AI-Driven Analytics

Prime Video & Amazon MGM Studios; Culver City (CA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Restricted stock units (RSUs)

Job summary

Prime Video's Global Operations team is seeking a results-driven Data Engineer to build and scale the data infrastructure powering reporting, analytics, and AI-enabled insights. You will design robust pipelines, integrate data from marketing, business, finance, and cross-functional teams, and construct AI-ready solutions that support enterprise forecasting and decision-making.

The role emphasizes scalable ETL/ELT development, data modeling, governance, and automation, with collaboration across

Qualifications

• 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, Scala)
• Experience with Python or another scripting language for data processing
• Knowledge of data schema design including normalization, relational models, and dimensional models
• Cross-team collaboration skills and effective written and verbal communication when interfacing with stakeholders, peers, and executives
• Knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control, continuous deployments, testing, and operational excellence
• Experience using BI tools (e.g., Tableau, QuickSight) to visualize data.

Responsibilities

• Design, develop, and maintain scalable, automated data pipelines and ETL/ELT processes that ingest, transform, and deliver data to support business reporting and analytics needs
• Architect data infrastructure for agentic AI and Model Context Protocols (MCP) — including structured pipelines, usage data capture, and systems that power AI-enabled self-service analytics and reporting
• Build and maintain data lakes, data warehouses, and APIs ensuring reliable, performant access to clean, well-governed data. Optimize storage, queries, and AWS infrastructure costs
• Create logical data models that drive physical design, enabling BI/analytics teams to build self-service reporting on a solid foundation. Support forecasting and capacity planning at scale
• Establish data quality frameworks, monitoring, and alerting to ensure accuracy, completeness, and freshness. Drive governance best practices including lineage tracking, documentation, and access controls
• Own instrumentation strategy for key platforms, ensuring comprehensive data capture across operational workflows
• Partner cross-functionally with BI engineers, analysts, operations, science, and tech teams to translate data requirements into scalable solutions

Skills

Cross-team collaboration

Written communication

Verbal communication

Education

Bachelor's degree in related field

MS degree in engineering/analytics

Tools

Hadoop

Hive

Spark

EMR

Informatica

Airflow

ODI

SSIS

Datastage

S3

Redshift

SageMaker

Kinesis

Lambda

EC2

Job description

Prime Video's Global Operations team is seeking a results-driven Data Engineer to build and scale the data infrastructure powering reporting, analytics, and AI-enabled insights. You will design robust pipelines, integrate data from marketing, business, finance, and cross-functional teams, and construct AI-ready solutions that support enterprise forecasting and decision-making.

The role emphasizes scalable ETL/ELT development, data modeling, governance, and automation, with collaboration across