🛠 Tech Stack

💼 About This Role

You'll sit within the Data Analytics organization, designing and maintaining pipelines, infrastructure, and systems. Your work ensures clean, reliable data for analysts and stakeholders. This hybrid role requires once every 2 weeks in Chicago's River North office.

🎯 What You'll Do

• Build and maintain ETL/ELT pipelines for reliable data delivery
• Ingest, store, and process large datasets efficiently
• Design scalable data infrastructure and data models
• Translate requirements into pipeline designs and automation workflows

📋 Requirements

• 2+ years in data engineering or software engineering
• Proficiency in SQL scripting and advanced database concepts
• Experience with Python for scripting and data processing
• Familiarity with Fivetran and Snowflake

✨ Nice to Have

• Understanding of cloud computing (AWS)
• Experience with CI/CD practices and Git

🎁 Benefits & Perks

• 🏆 Discretionary annual incentive program
• 🏥 Comprehensive benefits (likely health, dental, vision)
• 💼 Competitive pay range

📨 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

🚩 Heads Up

• Limited on-call after-hours support required
• Must be 21 years of age and pass background checks