Data Engineer

Position Title:  Data Engineer

Position reports to: Data Analyst Lead

Position status:  Full Time

Position category: Permanent

Location: Calgary, Alberta In-Office with hybrid opportunity

Work hours: Monday – Friday 8am – 5pm (40 hours/week)

  

Calvert Home Mortgage (CHMIC) is a full-service alternative mortgage investment firm supporting homeowners, investors, and brokers across Canada. We believe in seeing the person behind every mortgage, and our mission is to be the most trusted lending solution in the country by putting people first, focusing on long-term success, and always doing the right thing.

Our success is built on strong relationships, deep expertise, and a shared sense of purpose. Founded on the principle of "kitchen table lending," we take the time to listen, educate, and truly understand our clients' needs in order to deliver thoughtful, tailored solutions. While this approach may sound simple, it sets us apart in an industry where it is not the norm.

As a four-time winner of Canada's Most Admired Corporate Culture, we are proud of the environment we've built—one where people are trusted, supported, and encouraged to do meaningful work that contributes to the long-term success of the organization.

We are now looking for a Data Engineer to help build and scale our data foundation for the future. This is a unique opportunity to play a hands-on role in shaping technical design and data architecture, with meaningful autonomy and influence as we continue to grow our enterprise data capabilities.

 

WHAT'S THE BIG IDEA?

As our Data Engineer, you will build and maintain the data pipelines, models, and dashboards that keep the business running on clean, trusted data. You'll use Microsoft Fabric, dbt, and Power BI to turn raw information into analytics-ready insights, while keeping data quality, governance, and reliability front and centre.

You'll partner with teams across the business to automate manual processes, eliminate data headaches, and deliver clear, business-friendly insights people actually want to use. If you enjoy clean code, smart automation, and making data work for people (not the other way around), this role will feel right at home.

KEY RESPONSIBILITIES

Data Engineering & Modeling (60%)

Design, build and maintain ETL (Extract, Transform, Load) pipelines using Microsoft Fabric.Develop and maintain medallion data layers using dbt to create clean, reliable, analytics-ready datasets.Build reverse ETL pipelines to synchronize curated data back into operational systems to ensure consistency across the business.Execute on Data Governance guidelines by creating extensive data quality tests, proactive monitoring and recovery procedures to ensure data and pipeline reliability and stakeholder trust.

Automation & Process Improvement (20%)

Partner with business teams to identify manual, error-prone or inefficient processes and design and automate data-driven solutions. Develop and maintain automation workflows that improve speed, accuracy and scalability across the organization.

Business Intelligence & Report Building (20%)

Design, build and maintain business intelligent dashboards using Power BI.Govern and manage Power BI Service environment, including workspace access, App publishing, and refresh schedules. 

CORE COMPETENCIES

Strong curiosity and continuous learning mindset, with a passion for mastering new data tools and techniques.Analytical problem solver who seeks out root causes and develops robust solutions to drive dependable, consistent results.Deep respect for data quality, accuracy and lineage, treating all data as a core organizational asset.Ability to translate complex technical logic into clear, business friendly solutions.Commitment to software engineering best practices, including version control, rigorous testing and thorough documentation.

QUALIFICATIONS, EDUCATION & SKILLS

Bachelor's degree in Computer Science, Data Science, Information Systems, or a related discipline.2 - 4 years of experience in Data Engineering, System Analysis, Database Administration, or Business Intelligence.Advanced proficiency in SQL and Python is required. Experience with dbt is highly preferred.Familiarity with the Microsoft Fabric, Azure, AWS, or other cloud compute ecosystem is an asset.Candidates must be located in Alberta or Ontario, with strong preference given to candidates located in Alberta to support in-office collaboration and team engagement.

SUCCESS FACTORS

Within your first 90 days, you are actively contributing production-grade code to the data engineering codebase, independently deploying tested dbt models and Fabric pipelines.You implement automated data tests and alerts to detect data anomalies before they reach business stakeholders.You identify and automate manual workflows, delivering measurable time savings and improved data reliability for business teams.

WHAT WE OFFER

At Calvert Home Mortgage, we offer a competitive total rewards package designed to support your financial well-being, health, and long-term growth. This includes a competitive salary, an annual bonus program, phantom share ownership, and extended health and dental benefits, including a Health Care Spending Account starting at $2,000 annually.

We believe in investing in our people. Calvert provides financial support for education and professional development, encouraging continuous learning and skill development throughout your career. You'll also receive full onboarding, training, and ongoing support to help you succeed and grow in your role.

You'll work in a collaborative, in-office environment with a hybrid opportunity, free parking, and access to an on-site fitness facility—all without the downtown commute. Day-to-day perks include complimentary snacks, beverages, and coffee, and a workplace culture built on trust, respect, and high standards.

For more information about Calvert Home Mortgage Investment Corporation, please visit our website at .

 

Additional Information

In accordance with applicable pay transparency legislation, we are committed to fair, equitable, and transparent hiring and compensation practices. Salary offers are determined based on relevant skills, experience, internal equity, and market data.

Candidates must be legally authorized to work in Canada. We are unable to provide immigration sponsorship at this time.

We are an equal opportunity employer and are committed to creating an inclusive, respectful, and barrier-free workplace. Accommodations are available upon request for candidates participating in any stage of the recruitment process, in accordance with applicable human rights legislation.

Employment is conditional upon the successful completion of reference checks, credit checks, and background verification.

Any personal information collected as part of the recruitment process will be used solely for recruitment and selection purposes and handled in accordance with applicable privacy legislation.

This job posting outlines the general nature of the role and is not intended to be an exhaustive list of duties or responsibilities. Responsibilities may evolve to meet business needs.

We thank all applicants for their interest; however, only those selected for an interview will be contacted. To ensure a fair and consistent recruitment process, we kindly ask that applicants do not call, email, or visit our office regarding their application.

We do not accept unsolicited resumes from recruitment agencies. Any such submissions will be considered our property, and no fees will be paid.

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