🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts at a digital media company, ensuring reliable data for cross-functional teams. Your core impact is building and optimizing ETL pipelines and data infrastructure that empowers strategic growth. You'll own ingestion, modeling, and transformation to support reporting across business units.

🎯 What You'll Do

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

📋 Requirements

• 5+ years of data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices

✨ Nice to Have

• Strong cross-functional collaboration skills
• Looker dashboard experience
• Mentoring experience

🎁 Benefits & Perks

• 💰 Profit-sharing bonus
• 🏥 Competitive benefits
• 🏖️ Remote-first culture
• 📈 Performance-based increases

📨 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
4. 4Offer