Data Engineer II, Prime Video Advertising

Amazon • Seattle, WA

2d • $132,100 - $178,800 • Onsite

About The Position

Prime Video is a leading entertainment platform offering a wide range of premium content across various devices. The Prime Video Advertising (PVA) Data Engineering team is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. This role involves leveraging AWS technologies and internal Amazon tools for data ingestion, transformation, and quality assurance. The engineer will architect big data solutions, automate infrastructure using CI/CD, optimize data models, and ensure data governance, including access controls and encryption. Collaboration with Data Scientists, BI Engineers, Software Development Engineers, and Product Managers is essential for delivering tailored data solutions. The position requires proficiency in technologies such as Python, EMR, Spark, Iceberg, Airflow, and AWS data services like Glue, Athena, and Redshift. The ideal candidate is customer-obsessed, passionate about advertising, and capable of leading complex projects.

Requirements

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL

Nice To Haves

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Responsibilities

• Design and implement scalable, fault-tolerant data pipelines using AWS technologies and internal Amazon tools to extract, transform, and load data from multiple sources.
• Collaborate cross-functionally with BIEs, Data Scientists, PMs, and SDEs to understand data requirements and deliver customized data solutions.
• Automate infrastructure deployment with CI/CD pipelines and ensure streamlined processes for deployment and maintenance.
• Ensure data quality through robust validation, cleansing, and deduplication techniques.
• Implement data governance standards, including access control, encryption, data retention, deletion policies, and audit mechanisms to ensure compliance and security.
• Continuously improve and optimize data pipelines and infrastructure, staying up to date with emerging technologies and implementing automation and monitoring tools.
• Build a scalable and reliable data platform supporting analytics and experimentation for intuitive, self-service data products.
• Write high quality code and build scalable applications that interface with critical services and APIs to extract and process unstructured data
• Work with a range of data technologies, including Python, EMR, Spark, Iceberg, Airflow, and many AWS data services like Glue, Athena, Redshift to create end-to-end pipelines that consolidate data from disparate systems.

Benefits

• sign-on payments
• restricted stock units (RSUs)
• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed