🛠 Tech Stack

💼 About This Role

You'll build data automation pipelines and infrastructure to ingest, process, and load data from various sources. Your expertise will impact projects enhancing data infrastructure and automating processes. Join a dynamic, collaborative environment leveraging leading technologies.

🎯 What You'll Do

• Build infrastructure and data automation pipelines to ingest, process, and load data.
• Collaborate with stakeholders and data science teams to develop data products.
• Create unit and stress tests to monitor technical performance.
• Develop data analysis tools to provide insights and capture key metrics.

📋 Requirements

• 7+ years of experience in data engineering in a production environment.
• Experience managing large datasets exceeding 100M+ records.
• 5+ years of programming experience in Python.
• 5+ years in big data ecosystems with a focus on Spark.

✨ Nice to Have

• Experience with AWS-based distributed systems.
• Knowledge of dataflow orchestration tools like Airflow.
• Experience with non-relational databases like DynamoDB, Elasticsearch.

🎁 Benefits & Perks

• 💰 Bonus program and equity plans
• 🏦 401(k) plan with company matching
• 🏥 100% medical/dental/vision coverage
• 🏖️ Unlimited employee PTO
• 📈 Merit-based salary increases annually

📨 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