Senior Data Engineer

Job not on LinkedIn

September 19

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Forbes

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Media • Finance • B2C

Forbes is a prominent global media company, known for its brand of content covering a wide range of topics such as business, investing, technology, entrepreneurship, leadership, and lifestyle. It features news, analysis, and information about issues of concern to industry leaders and affluent individuals. Forbes is widely recognized for its authoritative rankings of businesses and industry leaders, such as the Forbes Global 2000, and is a trusted source for in-depth analysis of current events and trends in the financial and corporate worlds. Through its digital and print platforms, Forbes engages its audience with high-quality journalism and thought leadership content.

201 - 500 employees

Founded 1917

📱 Media

💸 Finance

👥 B2C

💰 $200M Corporate Round on 2022-02

📋 Description

• Design and scale infrastructure behind analytics, performance marketing, and experimentation platforms • Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python • Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems • Model data using dbt, with emphasis on quality, reuse, and documentation • Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics • Write high-performance SQL and support analytics and reporting teams in self-serve data access • Monitor and improve data quality, lineage, and governance across critical workflows • Collaborate with engineers, analysts, and business partners across the US, UK, and India

🎯 Requirements

• 4+ years of data engineering experience, ideally in a global, distributed team • Strong Python development skills and experience • Expert in SQL for data transformation, analysis, and debugging • Deep knowledge of Airflow and orchestration best practices • Proficient in DBT (data modeling, testing, release workflows) • Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus • Strong grasp of data governance, observability, and privacy standards • Excellent written and verbal communication skills • Experience working with digital marketing and performance data (nice to have) • Familiarity with BI tools like Tableau or Looker (nice to have) • Exposure to attribution models, media mix modeling, or A/B testing infrastructure (nice to have) • Collaboration experience with data scientists or machine learning workflows (nice to have)

🏖️ 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