Data Engineer II

Mediavine

Data Engineer at advertising management company building scalable data pipelines and maintaining data infrastructure. Collaborating with teams to develop predictors and provide solutions for data needs.

Posted 6/5/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudPostgresPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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%
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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.)

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLdbtdata modelingquery optimizationdata qualitydata governancedata lineageAPI integrationDevOps

Soft Skills

leadershipcommunicationcollaborationproblem-solvingproject managementadaptabilitycreativityattention to detailanalytical thinkingteamwork