Data Engineer II

Mediavine is seeking an experienced Data Engineer to join our engineering team. We are looking for someone who enjoys solving interesting problems and wants to work with a small team of talented engineers on a product used by thousands of publishers. Applicants must be based in the United States.

About Mediavine: Mediavine is a fast-growing advertising management company representing over 10,000 websites in the food, lifestyle, DIY, and entertainment space. Founded by content creators, for content creators, Mediavine is a Top 20 Comscore property, exclusively reaching over 125 million monthly unique visitors. With best-in-class technology and a commitment to traffic quality and brand safety, we ensure optimal performance for our creators.

Mission & Culture: We are striving to build an inclusive and diverse team of highly talented individuals that reflect the industries we serve and the world we live in. The unique experiences and perspectives of our team members are encouraged and valued. If you are talented, driven, and enjoy the pace of a start-up like environment, let's talk!

Position Overview: The Data & Analytics team consists of data analysts, data engineers, and analytics engineers working to build the most effective platform and tools to help uncover opportunities and make decisions with data at Mediavine. We partner with Product, Support, Ad Operations, and other teams within the Engineering department to understand behavior, develop accurate predictors, and build solutions that provide the best internal and external experience possible.

A Data Engineer at Mediavine will help build and maintain our data infrastructure. This includes building scalable data pipelines, managing transformation processes, and ensuring data quality and security at all steps along the way. You will be writing and maintaining code in Python and SQL, developing on AWS, and selecting and using third-party tools like Rundeck, Metabase, and others to round out the environment. You will be involved in decisions around tool selection and coding standards.

Our current data engineering toolkit consists of custom Python data pipelines, AWS infrastructure including Kinesis pipelines, Rundeck scheduling, dbt for transformation, and Snowflake as our data warehouse platform. We are open to new tools and expect this position to be a part of deciding the direction we take.

Essential Responsibilities:

• Create data pipelines that make data available for analytic and application use cases
• Develop self-healing, resilient processes that do not require constant care and feeding to run smoothly
• Create meaningful data quality notifications with clear actions for interested parties
• Lead projects from a technical standpoint, creating project Technical Design Documents
• Support data analysts and analytics engineers' ability to meet the needs of the organization
• Participate in code reviews, understanding coding standards, ensuring test coverage, and being aware of best practices
• Build or implement tooling around data quality, governance, and lineage
• Provide next-level support when data issues are discovered
• Work with data analysts and analytics engineers to standardize transformation logic
• Enable analytics engineers and data analysts by providing data modeling guidance, query optimization, and aggregation advice