Zipporin is seeking a talented Marketing Analytics & Attribution Engineer to join our growing data team in Austin, TX on a hybrid schedule. In this role, you will be the technical cornerstone bridging modern data engineering with growth marketing, building robust measurement infrastructure, identity resolution, and multi-touch attribution systems to guide high-impact investment decisions.
Key Responsibilities:
- Architect, build, and maintain reliable data pipelines integrating first-party events, ad-platform APIs, and revenue systems using dbt, Python, and Snowflake.
- Design and operationalize advanced attribution frameworks (multi-touch attribution, conversion lift studies, and marketing mix modeling) to evaluate multi-channel ROI.
- Implement robust identity resolution and customer journey mapping solutions across web, mobile, and server-side touchpoints.
- Configure and maintain reverse ETL workflows (e.g., Hightouch, Census) to activate unified warehouse data into marketing platforms and CRMs.
- Ensure tracking fidelity, end-to-end data quality observability, and adherence to evolving privacy frameworks like CCPA, GDPR, and browser cookie restrictions.
Requirements:
- 5+ years of experience in analytics engineering or data engineering with a dedicated focus on marketing or growth data ecosystems.
- Expert-level proficiency in advanced SQL, data modeling with dbt, and cloud data warehouses (Snowflake, BigQuery, or Redshift).
- Strong proficiency in Python for data extraction, pipeline orchestration, and statistical modeling.
- Deep domain knowledge of the digital advertising ecosystem, including ad networks, Conversions APIs (Meta CAPI, Google Enhanced Conversions), and web analytics tooling (GA4).
- Bachelor's degree in Computer Science, Statistics, Data Analytics, or equivalent practical industry experience.