🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts, building and optimizing ETL pipelines and data lake infrastructure on AWS. Your work will empower cross-functional teams with reliable, timely data that fuels strategic growth across marketing, product, and operations at a high-growth digital media company. This role offers the opportunity to shape the future of the data team and drive performance improvements.

🎯 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 query-ready datasets
• Maintain database monitoring and anomaly detection 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
• Cross-functional collaboration skills supporting BI and analytics
• Mentoring or team leadership experience

🎁 Benefits & Perks

• 💰 Competitive base salary ($150k-$190k)
• 📈 Profit-sharing bonus
• 🏖️ Remote-first culture
• 🏆 Performance-driven growth
• ❤️ Equal opportunity employer

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application Review· 1 week
2. 2Recruiter Screen· 30 min
3. 3Technical Interview· 1 hour

🚩 Heads Up

• Profit-sharing bonus not quantified
• Future increases based on performance, not tenure