Data Engineer, L3

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Forbes Advisor

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1917

📱 Media

💸 Finance

Media • Finance

Forbes Advisor is an online consumer finance and product advice platform operated by Forbes Media. It provides independent news, reviews, comparisons, guides and calculators across personal finance topics — including credit cards, banking, mortgages, loans, insurance, investing, taxes and cryptocurrency — to help consumers make informed financial decisions. The site monetizes through advertising, sponsored placements and affiliate partnerships while maintaining an editorial team that produces analysis, rankings and how-to content.

📋 Description

• Designing scalable data architecture • Driving business outcomes (revenue, lead quality, conversion efficiency) • Owning how data is used, trusted and acted upon • Design, build, and maintain robust data pipelines for social marketing and product data sources (APIs, event streams, batch systems) • Develop scalable ETL/ELT workflows / microservices using Python and SQL • Ensure high data quality, reliability and observability across pipelines • Optimize data models for analytics and reporting use cases • Own ingestion and modeling of data from Meta Ads (Facebook) and other digital marketing platforms • Build datasets that support: Campaign performance tracking, Lead funnel analysis, Attribution and conversion tracking • Translate business requirements from marketing, growth and product teams into scalable data solutions • Define success metrics tied to revenue and performance • Enable self-serve analytics through well-structured datasets • Implement validation checks, monitoring and alerting for pipelines • Ensure consistency across different marketing data sources • Maintain clear documentation of data models and pipelines • Work closely with marketing, growth, and analytics teams to understand real-world use cases • Own key use cases such as: Lead funnel optimization, Campaign attribution, Revenue reporting and forecasting

🎯 Requirements

• Strong proficiency in Python (must-have) • Advanced SQL skills for large-scale data processing • Hands-on experience with data ingestion from APIs (rate limits, pagination, retries) • Experience with data orchestration tools (e.g., Airflow or equivalent) • Familiarity with cloud data platforms (BigQuery, etc.) • Experience building scalable data ingestion systems • Familiarity with microservices-style or modular data systems • Strong understanding of performance and cost optimization • Solid understanding of Meta Ads platform fundamentals • Familiarity with: Campaign hierarchy and metrics (CTR, CPC, CPA, ROAS) • Conversion tracking and attribution models • Lead generation workflows and funnel metrics • Ability to interpret marketing data beyond surface-level metrics • Exposure to event tracking systems (GA4, Snowplow, etc.) • Experience with other ad platforms (Google Ads, Bing Ads, etc.) • Knowledge of data modeling best practices (e.g., star schema, dbt) • Experience with real-time or near real-time data pipelines

🏖️ Benefits

• Day off on the 3rd Friday of every month (one long weekend each month) • Monthly Wellness Reimbursement Program to promote health well-being • Monthly Office Commutation Reimbursement Program • Paid paternity and maternity leaves