Data Engineer II

🕒 Junho 5

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Mediavine

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2004

☁️ SaaS

📱 Mídia

SaaS • Media

A Mediavine é uma empresa exclusiva de gestão completa de anúncios e uma plataforma de tecnologia de anúncios construída para criadores de conteúdo e editores. Ajuda blogueiros e criadores a maximizar a receita de anúncios e o desempenho do site por meio de publicidade programática, monetização de vídeos, ferramentas de análises e otimização, além de suporte prático. A Mediavine também oferece aos anunciantes inventário seguro e de alta qualidade, sendo uma importante propriedade de mídia classificada pela Comscore que atinge milhões de visitantes únicos mensais.

Descrição

• 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 including other internal teams and other members of the data and analytics team • Leading 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, in the dbt framework and Snowflake 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 data analysts by providing data modeling guidance, query optimization and aggregation advice

🎯 Requisitos

• 3+ years of experience in a data engineering role • Strong Python skills (Understands tradeoffs, optimization, etc) • Strong SQL skills (CTEs, window functions, optimization) • Experience working in cloud environments (AWS preferred, GCS, Azure) • Experience managing complex dbt environments with hundreds or more flows • An understanding of how to best structure data to enable internal and external facing analytics • Familiarity with calling APIs to retrieve data (Authentication flows, filters, limits, pagination) • Experience working with DevOps to deploy, scale and monitor data infrastructure • Scheduler experience either traditional or DAG based • Experience using LM-powered tools for code generation, documentation, and architectural diagramming • Comfortable working with multi-TB cloud data warehouses (Snowflake preferred, Redshift, Big Query) • Experience with other DBMS systems (Postgres in particular) • Ability to travel up to approx 15% • **** • Nice to haves: • Experience with web analysis such as creating data structures that support product funnels, user behavior, and decision path analysis • Understanding of Snowflake external stages, file formats and snowpipe • Experience managing the semantic layer in either dbt or Snowflake • Experience with orchestration tools particularly across different technologies and stacks • Knowledge of Ad Tech, Google Ad Manager and all of its fun quirks (so fun) • The ability to make your teammates laugh (it wouldn’t hurt if you were fun to work with is what I’m saying) • Familiarity with event tracking systems (Snowplow, etc) • Experience with one or more major BI tools (Omni, Sigma, Metabase, etc.)

🏖️ Benefícios

• 100% remote • Comprehensive benefits including Medical, Dental, Vision, Disability, and Life Insurance • 401(k) with company matching • Generous PTO • Wellness initiatives and employer-sponsored mental health resources • Professional development opportunities • Inclusive, collaborative, and entrepreneurial company culture