Role- Data Engineer L3
Location- Remote
Exp.- 6+ yrs

Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most.
We are looking for a highly skilled Data Engineer (L3) with solid expertise in Python, data ingestion pipelines and marketing data systems, particularly with the Meta Ads ecosystem. This role sits at the intersection of data engineering and social/native platforms, enabling scalable data pipelines, high- quality datasets, and lead generation and business decision-making.
This role goes beyond building pipelines - will be responsible for:
· Designing scalable data architecture
· Driving business outcomes (revenue, lead quality, conversion efficiency)
· Owning how data is used, trusted and acted upon




The ideal candidate will not manage campaign buying or bidding directly but must clearly understand ad platform mechanics, attribution models and lead quality scores and will work closely with the Data Lead / Engineering Lead, acting as a key contributor in shaping solutions, making technical decisions, and delivering high-impact data products.

Responsibilities:

1. Data Engineering & Pipelines
· Design, build, and maintain robust data data pipelines for social marketing and product data sources (APIs, event streams, batch systems)
· Develop scalable ETL/ELT workflows / microservices using Python and SQL

2. Marketing & Ad Platform Data
1. Own ingestion and modeling of data from Meta Ads (Facebook) and other digital marketing platforms
2. Build datasets that support:
· Campaign performance tracking
· Lead funnel analysis
· Attribution and conversion tracking
3. Understand key concepts such as:

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