🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a data-driven digital media company, building and optimizing ETL pipelines and data lake infrastructure. You'll own the ingestion, modeling, and transformation of data to empower cross-functional teams. This role offers a high-performance culture with significant ownership and impact.

🎯 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 experience in cloud-native environments
• 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, Spark, and data quality best practices

✨ Nice to Have

• Experience with Looker dashboards
• Mentoring or team leadership experience
• Contributions to open-source data tools

🎁 Benefits & Perks

• 💰 Competitive base salary ($150k-$190k)
• 🏖️ Profit-sharing bonus
• 🏥 Health benefits
• 🌍 Remote-first culture
• 📈 Career growth opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Apply· 5 min
2. 2Recruiter Screen· 30 min
3. 3Technical Interview· 60 min