Data Engineer – L2

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Logo of Forbes Advisor

Forbes Advisor

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

• Build and maintain data ingestion pipelines from APIs and other data sources • Write efficient Python and SQL for data transformation and processing • Support ETL/ELT workflows, microservices and ensure timely data availability • Troubleshoot pipeline failures and assist in performance improvements • Assist in ingestion and modeling of data from Meta Ads and similar platforms • Help create datasets for campaign performance reporting and lead funnel tracking • Work with marketing and analytics teams to understand data requirements • Help translate business needs into data queries and datasets • Implement basic data validation checks • Monitor pipelines and resolve data issues • Maintain documentation for pipelines and datasets

🎯 Requirements

• Proficiency in Python (data processing, API handling) • Strong SQL skills • Experience with data ingestion from APIs (basic handling of pagination, retries) • Familiarity with workflow orchestration tools (e.g., Airflow or similar) • Exposure to cloud data warehouses (BigQuery, etc.) • Basic understanding of Meta Ads platform concepts • Familiarity with marketing metrics (CTR, CPC, conversions) • Good problem-solving and debugging skills • Ability to work in a collaborative, cross-functional environment • Clear communication of technical work and issues

🏖️ 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

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