Analytics Engineer

About Us

We want our employees to feel great coming to work so that’s why we give our talent the tools to excel. After all, a remarkable employee experience leads to extraordinary experiences for our members. If you have an affinity for working in a vibrant environment where your achievements are celebrated, then a career with us sounds like the perfect fit!

Are you looking for a career that ignites your passion for managing large data sets and working with stakeholders to improve business outcomes? Affinity Credit Union is expanding our team, and we want someone who will bring fresh ideas and drive innovation in a collaborative, fast-paced environment. As an Analytics Engineer, you’ll be supporting the organization with insights gained from analyzing company data. The banking industry is quickly evolving with innovative technology, and we want employees who are eager to help us reach the next level.

What you’ll do

• Manage projects and use modern Python-based tools to develop end-to-end data solutions.
• Use modern Business Intelligence tools and techniques to create and maintain visually appealing reports and interactive visualizations
• Write thorough, understandable, well-documented, and tested code that meets professional development standards and maintains long-term system reliability.
• Provide guidance and expertise to other developers so they can translate business requirements into software that delivers value for our members

What you’ll get

• The support to grow in your career and expand your knowledge, with ample opportunities to advance
• A competitive salary plus bonuses for your hard work
• A total rewards package including health and dental benefits, pension and health spending account
• Vacation time, personal days off and a paid volunteer day to help you maintain a healthy life/work balance
• A referral bonus when you scout great talent and they’re hired to join our team

What you’ve got

• A post-secondary diploma or degree in a related field, plus 3 years of related experience or an equivalent combination of education and experience
• Advanced knowledge of database and data warehouse design
• Proven expertise in SQL with strong proficiency in Python
• Familiarity with Cloud Data Warehouses (Snowflake preferred), and open-source Python-based data engineering tools (dbt, Prefect, dlt)

So, what do you think? Does it sound like you’re a fit for this role? Throw your hat in the ring!

This position requires the submission of your Resume and Cover Letter stating how you meet the required qualifications in your application prior to the closing date of the position.

Posting Close Date: May 3, 2026