Data Engineer L3 (Marketing Analytics) – Forbes Advisor
Experience Required: 6+ Years
Location: Remote
Key Requirements
- Strong expertise in Python and advanced SQL
- Experience building ETL/ELT pipelines, API integrations, and data ingestion frameworks
- Hands-on with Airflow (or similar orchestration tools) and cloud platforms like BigQuery
- Experience designing scalable data architectures, microservices, and reusable data products
- Strong understanding of Meta Ads/Facebook Ads data, attribution models, conversion tracking, and lead funnel analytics
- Knowledge of marketing metrics such as CTR, CPC, CPA, ROAS
- Experience with event tracking tools (GA4, Snowplow) and data quality monitoring
- Ability to translate marketing and business requirements into scalable analytics solutions
Nice to Have
- Experience with Google Ads, Bing Ads
- Knowledge of dbt, star schema, and data modeling best practices
- Real-time or near real-time data pipeline experience
What They're Looking For
A senior Data Engineer who can own marketing data pipelines, build reliable datasets for campaign attribution and revenue reporting, optimize data quality, and partner closely with marketing, growth, and analytics teams to drive business outcomes.
