The Role 

You’ll sit within the Data & Analytics organization, working at the foundation of everything we build with data. You’ll design and maintain the pipelines, infrastructure, and systems that make clean, reliable data possible so that analysts, engineers, and business stakeholders can trust what they’re looking at. You won’t just move data; you’ll shape how the company accesses it. 

This is a hybrid role based in Chicago, IL. In office requirement once every 2 weeks at our office in River North. 

Responsibilities 

• Build, implement, and maintain robust ETL/ELT pipelines that power reliable, timely data delivery across the organization 
• Ingest, store, process, and analyze large datasets efficiently, ensuring data is always accessible and accurate for downstream consumers 
• Design and maintain scalable data infrastructure and data models that support efficient storage, retrieval, and transformation 
• Translate technical and functional requirements into detailed pipeline designs and automation workflows 
• Prepare raw data into clean, consumable datasets for both technical and non-technical stakeholders 
• Uphold data accuracy, integrity, privacy, security, and compliance across all systems you touch 
• Provide limited on-call after-hours critical support on a rotating schedule with the

Qualifications  

• 2+ years of experience in data engineering, software engineering, or a related field 
• Proficiency in SQL scripting and advanced database concepts, with hands-on experience working with large datasets 
• Experience with Python for scripting, automation, and data processing workflows 
• Familiarity with ETL tools and frameworks such as Fivetran, and experience with Snowflake for data warehousing 
• Understanding of cloud computing (AWS) and data security best practices 
• Understanding of CI/CD practices and experience working in Git 
• A collaborative attitude and the ability to work across teams to solve complex data challenges 
• Strong critical thinking and problem-solving skills, paired with a genuine curiosity for how data systems work 
• The ability to work within a team to foster connectedness 

Additional Requirements 

• Must pass any and all required background checks  
• Must be and remain compliant with all legal or company regulations for working in the industry  
• Must be a minimum of 21 years of age 

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