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1mo ago

Data Engineer, Prime Video - GSS Planning & Strategy

Amazon.com Services LLC Seattle, WA

Seattle, WA

1mo ago Closed

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

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

Join Prime Video Global Operations as a Data Engineer responsible for designing scalable data ecosystems, pipelines, and AI-enabled analytics across marketing, finance, and cross-functional teams.

Responsibilities

Create and sustain scalable data pipelines and ETL or ELT workflows to ingest, transform, and deliver data for reporting and analytics needs.
Architect data foundations to support agentic AI and Model Context Protocols (MCP), including structured pipelines, usage data capture, and systems enabling AI-powered self-service analytics and reporting.
Develop and maintain data lakes, data warehouses, and APIs to ensure reliable, fast access to clean, governed data; optimize storage, query performance, and AWS cost efficiency.
Design logical data models that guide physical implementations, enabling BI and analytics teams to build self-service reporting on a solid foundation; support scalable forecasting and capacity planning.
Implement data quality programs with monitoring and alerting to ensure accuracy, completeness, and freshness; promote governance practices like lineage, documentation, and access controls.
Own the instrumentation strategy for key platforms to guarantee comprehensive data capture across operational workflows.
Collaborate across BI engineers, analysts, operations, science, and software teams to translate data needs into scalable solutions.

Requirements

Bachelor's degree in a quantitative or technical field such as engineering, statistics, computer science, mathematics, or a related discipline
Minimum 3 years of data engineering experience
At least 3 years working with big data technologies such as Hadoop, Hive, Spark, or EMR
Experience modeling data, building data warehouses, and constructing ETL/ELT pipelines
4+ years of experience with one or more query languages (SQL, PL/SQL, DDL, HiveQL, SparkSQL, Scala)
Proficiency in Python or another scripting language for data processing
Knowledge of data schema design, including normalization, relational models, and dimensional models
Strong cross-functional collaboration and clear written and verbal communication with stakeholders, peers, and leaders
Familiarity with professional software engineering practices across the full SDLC, including coding standards, code reviews, source control, CI/CD, 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
AWS services: S3, Redshift, SageMaker, EMR, Kinesis, Lambda, EC2
Informatica, Airflow, ODI, SSIS, BODI, Datastage

Benefits

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

Preferred Qualifications

Advanced degree (MS) in engineering, technology, statistics, analytics, or finance
Experience using BI tools (Tableau, 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 designing and operating solutions on AWS including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2
Experience in large-scale workforce, operations, or capacity planning
Experience data mining and working with large-scale, complex datasets in business settings
Experience with statistical analysis using R, SAS, or Matlab

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