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Forbes

Data Engineer, L2

Forbes

Data Engineer (L2) at Forbes Advisor building data pipelines for marketing analytics and reporting. Requires experience in working with Python, SQL, and Meta Ads ecosystem.

Posted 4/23/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowBigQueryCloudETLMicroservicesPythonSQL

About the role

Key responsibilities & impact
  • 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
  • Support analysis related to lead quality and campaign performance
  • Implement basic data validation checks
  • Monitor pipelines and resolve data issues
  • Maintain documentation for pipelines and datasets

Requirements

What you’ll need
  • 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)
  • Willingness to learn deeper AdTech concepts
  • Good problem-solving and debugging skills
  • Ability to work in a collaborative, cross-functional environment
  • Clear communication of technical work and issues

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonSQLETLELTdata ingestiondata transformationdata processingdata validationtroubleshootingdebugging
Soft Skills
problem-solvingcollaborationcommunication