Data Engineer

Green Thumb•Chicago, IL

8h•$95,000 - $115,000•Hybrid

About The Position

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.

Requirements

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
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

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