Mediavine
Internet
DataEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II at Mediavine. Skills: Data pipelines, Data infrastructure, Data quality, Data modeling. Create data pipelines. Develop self-healing processes”
Industry & Context.
Root cause analysis
Ability to travel up to 15%
What They're Looking For.
Must Have
3+ years of experience, Python skills, SQL skills, Experience working in cloud environments, Experience managing complex dbt environments, Understanding of data structure, Familiarity with calling APIs, Experience working with DevOps, Scheduler experience, Experience using LM-powered tools, Comfortable working with multi-TB cloud data warehouses, Experience with other DBMS systems, Ability to travel up to 15%
Nice to Have
Experience with web analysis, Snowflake external stages, Experience managing semantic layer, Experience with orchestration tools, Knowledge of Ad Tech, Ability to make teammates laugh, Familiarity with event tracking systems, Experience with major BI tools
What You'll Do.
Create data pipelines
Develop self-healing processes
Create data quality notifications
Lead projects technically
Create project Technical Design Documents
Support data analysts
Support analytics engineers
Participate in code reviews
Understand coding standards
Be aware of best practices
Build tooling around data quality
Implement tooling around data governance
Implement tooling around data lineage
Provide next level support
Work with data analysts
Work with analytics engineers
Standardize transformation logic
Enable analytics engineers
Provide data modeling guidance
Provide query optimization
Provide aggregation advice
How You'll Work.
Team & Collaboration
Partner with Product; Partner with Support; Partner with Ad Operations; Work with data analysts; Work with analytics engineers
Full Job Description
### 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. **About This Role** 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 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 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 converting to Prefect orchestration, 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 *
Applying for this Data Engineer II role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Mediavine?
Real rants from real employees. Read before you apply.