🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts at a profitable digital media company, building and optimizing data lakes and ETL pipelines that power cross-functional teams. You'll own the ingestion and modeling of data to support strategic growth across product, marketing, and operations.

🎯 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
• Drive adoption and advancement of Looker dashboards

📋 Requirements

• 5+ years of data engineering 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

• Strong cross-functional collaboration skills
• Experience with BI and analytics teams

🎁 Benefits & Perks

• 💰 Base salary $150,000-$190,000 per year
• 🎁 Profit-sharing bonus
• 🏖️ Competitive benefits

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Final Round· 60 min