Data Engineer

Greenthumbindustries; Chicago (IL); Hybrid; USD 95,000 - 115,000; Full time

Job summary

Greenthumbindustries is seeking a Data Engineer to join their Data & Analytics organization in Chicago, IL. This hybrid role involves designing and maintaining data pipelines and infrastructure to ensure reliable data access across the company.

The ideal candidate will have 2+ years of experience, proficiency in SQL and Python, and familiarity with ETL frameworks such as Fivetran. The pay range for this position is between $95,000 and $115,000 USD.

Qualifications

• 2+ years of experience in data engineering or related field.
• Hands-on experience working with large datasets.
• Familiarity with CI/CD practices.

Responsibilities

• Build and maintain robust ETL/ELT pipelines.
• Ingest, store, and process large datasets efficiently.
• Design scalable data infrastructure and models.

Skills

SQL scripting

Python for scripting and automation

Data engineering principles

Collaboration and teamwork

Critical thinking and problem-solving

Tools

ETL tools (Fivetran)

Snowflake

AWS cloud services

Git

Job description

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

Pay Range: $95,000 — $115,000 USD