Data Engineer II

Summary

Join Mediavine's engineering team as an experienced Data Engineer. You will build and maintain data infrastructure, creating scalable data pipelines and ensuring data quality and security. This role involves Python and SQL coding, AWS development, and utilizing tools like Rundeck and Metabase. You'll contribute to tool selection and coding standards, working with a team to support data analysts and engineers. The position requires 3+ years of data engineering experience, strong Python and SQL skills, and cloud environment experience (AWS preferred). Mediavine offers a 100% remote position with comprehensive benefits.

Requirements

• 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)
• 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
• 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%

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 including other internal teams and other members of the data and analytics team
• 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, 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

Preferred Qualifications

• Experience with web analysis such as creating data structure that support product funnels, user behavior, and decision path analysis
• Understanding of Snowflake external stages, file formats and snowpipe
• Experience with orchestration tools particularly across different technologies and stacks
• Experience with dbt
• Knowledge of Ad Tech, Google Ad Manager and all of it’s 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 (NewRelic, Snowplow, etc)
• Experience with one or more major BI tools (Domo, Looker, PowerBI, etc.)

Benefits

• 100% remote
• Comprehensive benefits including Health, Dental, Vision and 401k match
• Generous paid time off
• Wellness and Home Office Perks
• Up to 12 weeks of paid Parental Leave
• Inclusive Family Forming Benefits
• Professional development opportunities
• Travel opportunities for teams, our annual All Hands retreat as well as industry events