Data Engineer

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   #LI_HYBRID The pay range is competitive and based on experience, qualifications, and/or location of the role. Positions may be eligible for a discretionary annual incentive program driven by organization and individual performance. Green Thumb Pay Range $95,000 — $115,000 USD