Senior Data Engineer

ABOUT US 
At HUB International, we are a team of entrepreneurs. We believe in protecting and supporting the aspirations of individuals, families, and businesses. We help our clients evaluate their risks and develop solutions tailored to their needs. We believe in empowering our employees to learn, grow, and make a difference. Our structure enables our teams to maintain their own unique, regional culture while leveraging support and resources from our corporate centers of excellence. 
 
HUB is one of the largest global insurance and employee benefits brokers, providing a boundaryless array of business insurance, employee benefits, risk services, personal insurance, retirement, and private wealth management products and services. With over $5 billion in revenue and almost 20,000 employees in 600 offices throughout North America, HUB has grown substantially, in part due to our industry leading success in mergers and acquisitions. 

Position Summary

We are looking for a Senior Data Engineer – Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will architect and 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.

Key Responsibilities

• Design, 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.
• Use Terraform to manage GCP infrastructure as code, ensuring scalable, repeatable, and secure deployments.
• Lead the decommissioning of legacy systems while enhancing the current data platform.
• 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.
• Mentor junior engineers and contribute to the professional development of consultants and interns.

Qualifications

• 10–15 years of progressive experience in data engineering, analytics infrastructure, or a related field.
• Extensive experience with Google Cloud Platform, including BigQuery, Cloud Storage, Dataform, Cloud Composer, Cloud Functions, and Cloud Run.
• Proficiency in Terraform for managing infrastructure across GCP environments.
• Strong knowledge of SQL, data modeling (star/snowflake), and modern ELT pipeline development.
• Hands-on experience with tools such as dbt, Python, and other data transformation frameworks.
• Familiarity with Vertex AI, Cloud Notebooks, or similar ML platforms.
• Strong 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.
• Deep 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).
• Certifications such as Google Cloud Professional Data Engineer, Cloud Architect, or HashiCorp Terraform Associate are preferred.
• 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.

Why Join HUB?

• Work remotely while contributing to innovative, enterprise-wide initiatives.
• Be part of a diverse and fast-growing company with a collaborative team culture.
• Access strong career development, certification reimbursement, and leadership growth opportunities.
• Help transform a legacy environment into a mo