Data Engineer

HUB International • Chicago, IL

10d • $105,000 - $126,000

About The Position

We are looking for a Data Engineer – Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will build data pipelines and infrastructure that enable advanced analytics across the enterprise. You’ll play a critical part in modernizing our data platform, migrating from legacy systems, and delivering scalable, high-quality solutions powered by Google Cloud Platform (GCP) and infrastructure-as-code tools like Terraform.

Requirements

• 4–8 years of progressive experience in data engineering, analytics infrastructure, or a related field.
• Experience with Google Cloud Platform, including BigQuery, Cloud Storage, Dataform, Cloud Composer, Cloud Functions, and Cloud Run.
• Knowledge of SQL, data modeling (star/snowflake), and modern ELT pipeline development.
• Hands-on experience with Python and other data transformation frameworks.
• Familiarity with Vertex AI, Cloud Notebooks, or similar ML platforms.
• Understanding of CI/CD tools and practices, ideally including Cloud Build, GitHub Actions, or Terraform Cloud.
• Experience with data visualization platforms such as Looker, Looker Studio, or similar BI tools.
• Understanding of data governance, metadata management, and lineage using tools like Dataplex.
• Excellent verbal and written communication skills, with the ability to explain complex technical topics to business stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Ability to thrive in a fast-paced environment with shifting priorities and global collaboration.
• Willingness to occasionally work non-standard hours for critical deployments or support.

Nice To Haves

• Certifications such as Google Cloud Professional Data Engineer, Cloud Architect, or HashiCorp Terraform Associate are preferred.

Responsibilities

• Develop, and support scalable data models and ETL/ELT pipelines using GCP technologies.
• Build and optimize cloud-native data solutions leveraging BigQuery, Dataform, Cloud Composer, Cloud Run, Cloud Functions, and Cloud Storage.
• Contribute to machine learning and data science initiatives through integrations with Vertex AI and Cloud Notebooks.
• Establish and maintain data quality and validation rules to ensure trust in enterprise data assets.
• Document data pipelines, architecture, and Terraform modules to support team transparency and maintainability.
• Coordinate migrations and deployments across environments (Development, UAT, Staging, Production) using modern CI/CD practices.
• Collaborate cross-functionally within Agile/Scrum teams to deliver data solutions aligned with business needs.
• Provide production support and performance tuning for data systems in GCP.

Benefits

• health/dental/vision/life/disability insurance
• FSA, HAS and 401(k) accounts
• paid-time-off benefits such as vacation, sick, personal, floating holidays and company holidays
• eligible annual bonuses, equity and commissions may be available for some positions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level