Position Summary

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.

Key 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.

Qualifications

• 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).
• 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.

JOIN OUR TEAM

Do you believe in the power of innovation, collaboration, and transformation? Do you thrive in a supportive and client focused work environment? Are you looking for an opportunity to help build and drive change in a rapidly growing and evolving organization? When you join HUB International, you will be part of a community of learners and doers focused on our Core Values: entrepreneurship, teamwork, integrity, accountability, and service.

The expected salary range for this position is $105,000 to $126,000 and will be impacted by factors such as the successful candidate’s skills, experience and working location, as well as the specific position’s business line, scope and level. HUB International is proud to offer comprehensive benefit and total compensation packages which could include 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. In addition, eligible annual bonuses, equity and commissions may be available for some positions. 

HUB International Limited is an equal opportunity employer that does not discriminate on the basis of race/ethnicity, national origin, religion, age, color, sex, sexual orientation, gender identity, disability or veteran's status, or any other characteristic protected by local, state or federal laws, rules or regulations.

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