🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a digital media company, empowering cross-functional teams with reliable, timely, and actionable data. Your work will directly fuel strategic growth across product, marketing, and operations. This role offers ownership of end-to-end data infrastructure and the chance to shape a high-performance engineering culture.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of data
• Partner with BI and Analytics to deliver clean datasets
• Maintain database monitoring and anomaly detection workflows

📋 Requirements

• 5+ years of data engineering experience
• Deep expertise in 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 Looker dashboards
• Mentoring or team leadership experience
• Knowledge of data quality best practices

🎁 Benefits & Perks

• 💰 Profit-sharing bonus
• 🏥 Competitive benefits package
• 🌍 Remote-first team
• 🚀 Performance-driven career growth

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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