Data Engineer

Join Amazon.com Services LLC in Culver City, CA on site as a Data Engineer with a salary range of USD 132,100 to 178,800 per year. This role centers on designing, building, and scaling Prime Video's data infrastructure and pipelines to enable reporting, analytics, and AI enabled insights for Global Operations. You will shape data models, governance, and automation to support forecasting, capacity planning, and self service analytics.

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.

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, 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 such as Tableau or QuickSight to visualize data

Technologies

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

Benefits

• Health insurance
• Employee Assistance Program EAP
• Mental health support
• Flexible Spending Accounts
• Adoption and surrogacy reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave
• Sign on payments
• Restricted stock units RSUs

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 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 tools such as R, SAS, or Matlab