🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering for a digital media company connecting consumers with brands. You'll own the ingestion and modeling of structured and unstructured data to power analytics and business intelligence across all business units.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Ingest, model, and transform structured and unstructured data
• Partner with BI and Analytics to deliver query-ready datasets
• Maintain database monitoring and quality assurance workflows

📋 Requirements

• 5+ years of data engineering experience
• Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems and Spark

✨ Nice to Have

• Experience with data quality best practices
• Strong cross-functional collaboration skills

🎁 Benefits & Perks

• 💰 Base salary $150k-$190k
• 🏆 Profit-sharing bonus
• 🌍 Remote-first global team
• 🚀 Mentorship and career growth

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min