IMDb is the world’s most popular and authoritative source for information on movies, TV shows, and celebrities. With more than 250 million monthly unique visitors, IMDb connects entertainment fans worldwide with comprehensive information on over 12 million titles and 13 million cast and crew members.
We’re seeking a Data Engineer who is both a fan of entertainment and understands the business of film and television. You’ll help modernize our data infrastructure by upgrading legacy systems with scalable, cloud-native solutions - while leveraging AI to automate and enhance data pipelines. This role requires technical depth, industry knowledge, and a willingness to experiment with emerging technologies.
Key job responsibilities
• Design, build, and maintain batch and streaming data pipelines processing terabytes of entertainment metadata, user traffic and engagement metrics, and entertainment industry data
• Build ETL CDK pipelines using AWS services including S3, Glue, EMR, Redshift, Kinesis, and MWAA (Airflow)
• Implement AI-assisted data engineering workflows including LLM-powered data quality checks, automated schema evolution, and intelligent data cataloging
• Collaborate with Data Scientists to productionize GenAI and ML models that support content moderation, user personalization, customer segmentation, and more
• Partner with Business Intelligence Engineers to build data models supporting analytics, reporting, and business decision-making
• Optimize query performance and data storage costs across petabyte-scale datasets
• Establish data quality frameworks and monitoring systems to ensure accuracy of entertainment industry data
• Mentor junior engineers on data engineering best practices and AWS technologies
About the team
You’ll work alongside Data Engineers who are building the data foundation for IMDb’s reporting and Insight products; Data Scientists that are building prediction and customer segmentation models; and Business Intelligence Engineers that deliver insights to IMDb stakeholders. Our team values technical excellence, experimentation, and using data to improve the entertainment discovery experience for millions of users.- 4+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Knowledge of data governance, privacy, compliance, and security best practices- 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)
- Experience in the entertainment industry
- Experience applying generative AI and LLMs to data engineering challenges
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
