Data Engineer

Forbes Advisor

New Jersey

Hybrid

USD 120,000 - 180,000

Full time

6 days ago
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Job summary

Forbes Advisor is seeking a senior data engineer in New Jersey to design and maintain robust data pipelines. The role requires 6+ years in data engineering, expert Python and SQL skills, and hands-on API ingestion experience with rate limits, pagination, and retries.

Proficiency in Airflow or similar orchestration tools is preferred. Ideal candidates will have experience with BigQuery, and a strong understanding of data quality, scalability, and performance in large-scale marketing analytics

Qualifications

  • 6+ years of professional experience in Data Engineering.
  • Strong proficiency in Python for building data pipelines.
  • Advanced SQL skills for large-scale data processing.
  • Hands-on experience with API data ingestion, including handling rate limits, pagination, and retries.
  • Experience with data orchestration tools such as Airflow or equivalent.

Skills

Python for data pipelines
Advanced SQL
API data ingestion
Data orchestration concepts

Tools

Airflow
BigQuery

Job description

Requirements
  • 6+ years of professional experience in Data Engineering.
  • Strong proficiency in Python for building data pipelines.
  • Advanced SQL skills for large-scale data processing.
  • Hands-on experience with API data ingestion, including handling rate limits, pagination, and retries.
  • Experience with data orchestration tools such as Airflow or equivalent.
Preferred skills
  • Hands-on experience with cloud data platforms like BigQuery.
  • Understanding of Meta Ads platform fundamentals and marketing metrics including CTR, CPC, CPA, and ROAS.
  • Exposure to event tracking systems such as GA4 or Snowplough.
Nice to have
  • Familiarity with microservices-style or modular data systems.
  • Knowledge of lead generation workflows and funnel metrics.
Background and domain
  • Experience in AdTech, Marketing Analytics, or Lead Generation domains is highly valued.
  • Previous experience at product-focused companies with high-scale data needs.
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