Data Engineer - Relocation

Medier is seeking a Data Engineer (Analytics Engineer) to build scalable data models and transform marketing data into structured, actionable insights. The role focuses on modern data stack technologies and supports data-driven marketing strategies.

You will work on transforming raw API data into clean data marts, enabling advanced analytics such as LTV, CAC, and attribution modeling.

Medier is hiring a Data Engineer to design and optimize data pipelines and models that power marketing analytics.

Responsibilities:
- Build and maintain scalable data models using Snowflake, BigQuery, and dbt
- Transform raw marketing data into structured data marts
- Implement business logic for metrics like LTV, CAC, attribution, and cohort analysis
- Ensure data quality, testing, and documentation within dbt
- Optimize data pipelines for performance and reliability
- Collaborate with marketing and growth teams to support data needs

Requirements:
- Advanced SQL skills with experience writing complex, efficient queries
- Hands-on experience with dbt (Core or Cloud), including macros and incremental models
- Strong understanding of Snowflake or BigQuery architectures
- Familiarity with Git, CI/CD, and software engineering best practices
- Analytical mindset with attention to data quality and structure

Nice to Have:
- Experience with marketing analytics metrics (ROAS, ROMI, retention)
- Understanding of ad platforms like Facebook Ads and Google Ads
- Experience working with modern data stack tools

Benefits:
- Opportunity to work with cutting-edge data tools
- Collaborative, data-driven marketing environment
- Remote work flexibility

Join Medier to build the data foundation powering modern marketing analytics.