About Mediavine

Mediavine is a fast-growing advertising management company representing over 8,000 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 help content creators build sustainable businesses. From educational tools and cutting-edge plugins to ad technology that maximizes earnings without slowing down your site, our motivation is ensuring your brand and business grow in every respect.

We are striving to build an inclusive and diverse team of highly talented individuals that reflects the industries we serve and the world we live in. We are committed to creating a culture where everyone feels welcomed. We are looking for individuals that will challenge us to continuously evolve and make Mediavine the employer of choice for people of all backgrounds. We strongly encourage minorities and individuals from underrepresented groups in technology to apply for this position.

Diversity and inclusion aren’t platitudes to us; we take them seriously. Have a look at our team and read through our blog posts to learn more about our values and to discover if Mediavine is the place for you!

Position Title & 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 here 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 Senior Data Engineer at Mediavine will help build and maintain our data infrastructure. Building scalable data pipelines, managing transformation processes, and ensuring data quality and security at all steps along the way. This will include 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 responsible for informing and making decisions around tool selection and standards.

Our current data engineering toolkit consists of custom Python etl, Ruby On Rails legacy 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 play a major in 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 different interested parties including other internal teams and other members of the data and analytics team
• Drive the data engineering roadmap including leading projects through all phases
• Support data analysts and analytics engineers ability to meet the needs of the organization
• Lead code reviews, implementing standards, ensuring test coverage and recommending best practices to other members of the team
• Build or implement tooling around data quality, governance and lineage, mostly in the dbt framework but external to that as needed
• Provide next level support when data issues are discovered and communicated by the data analysts
• Work with data analysts and analytics engineers to standardize transformation logic in the dbt layer for consistency and ease of exploration by end users
• Enable analytics engineers and analysts by providing data modeling guidance, query optimization and aggregation advice
• Mentor more junior members of the team