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Mediavine is a leading programmatic ad tech partner helping independent publishers build sustainable businesses
Data Engineer II
Location
United States
Posted
60 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Engineer II
Mediavine
Role Description 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. A Data Engineer at Mediavine will help build and maintain our data infrastructure, including: - Building scalable data pipelines - Managing transformation processes - Ensuring data quality and security at all steps - Writing and maintaining code in Python and SQL - Developing on AWS - Selecting and using third-party tools like Rundeck, Metabase, and others Essential Responsibilities include: - Create data pipelines that make data available for analytic and application use cases - Develop self-healing, resilient processes - Create meaningful data quality notifications - Lead projects from a technical standpoint, creating project Technical Design Documents - Support data analysts and analytics engineers - Participate in code reviews - Build or implement tooling around data quality, governance, and lineage - Provide next-level support for data issues - Work with data analysts and analytics engineers to standardize transformation logic - Enable analytics engineers and data analysts by providing data modeling guidance Qualifications - 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 - Understanding of how to best structure data for analytics - Familiarity with calling APIs to retrieve data - 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) - Experience with other DBMS systems (Postgres in particular) - Ability to travel up to approx 15% Requirements - 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 across different technologies and stacks - Knowledge of Ad Tech, Google Ad Manager - The ability to make your teammates laugh - Familiarity with event tracking systems (Snowplow, etc.) - Experience with one or more major BI tools (Omni, Sigma, Metabase, etc.) Benefits - 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
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