Associate Data Engineer

Support data validation, reconciliation, and quality assurance activities to help improve trust in enterprise data.

Work with QA, analytics, and business stakeholders to investigate data discrepancies and confirm expected outcomes.

Help document source-to-target mappings, validation results, known issues, and business rules.

Contribute to the development of checks and controls that improve data reliability over time.

Create and maintain clear technical documentation, including pipeline notes, data flow summaries, validation evidence, and operational procedures.

Participate in team ceremonies, planning sessions, design discussions, and delivery reviews.

Collaborate with data engineers, architects, QA team members, analysts, and business stakeholders to understand requirements and deliver assigned work.

Use team tools such as Jira, Confluence, Git-based source control, and CI/CD processes to support disciplined delivery.

Develop foundational skills in SQL, data modelling, ETL/ELT development, orchestration, data warehousing, and source system integration.

Learn and follow team standards for development, testing, code review, deployment, and production support.

Seek feedback from senior engineers and apply it to improve technical quality and delivery consistency.

Build awareness of responsible AI-assisted work, including the need to validate AI-generated outputs and protect sensitive data.

1+ years of experience, internship experience, academic project work, or equivalent practical exposure in data engineering, analytics engineering, database development, software development, or a related technical discipline.

Foundational SQL skills, with an interest in query development, troubleshooting, and data validation.

Exposure to data pipelines, ETL/ELT concepts, data warehousing, or analytical reporting environments.

Interest in learning Snowflake or comparable cloud data platforms.

Familiarity with Python, scripting, or modern development practices is considered an asset.

Familiarity with source control, Jira, Confluence, CI/CD, or Agile delivery practices is considered an asset.

Strong attention to detail and a willingness to document work clearly and consistently.

Strong problem-solving mindset, with the ability to investigate issues, ask thoughtful questions, and learn from feedback.

Effective communication skills and the ability to work collaboratively across technical and non-technical teams.

Interest in healthcare, multi-site operations, or enterprise-scale analytics is considered an asset.

About Dentalcorp Dentalcorp is Canada’s largest and fastest growing network of dental practices, committed to advancing the overall well-being of Canadians by delivering the best clinical outcomes and unforgettable experiences. Dentalcorp acquires leading dental practices, uniting its network in a common goal: to be Canada’s most trusted healthcare network. Leveraging its industry-leading technology, know-how and scale, Dentalcorp offers professionals the unique opportunity to retain their clinical autonomy while unlocking their potential for future growth.

The salary range for this position is $70,000 CAD to $90,000 CAD annually (plus a bonus of up to 10% and competitive total rewards and benefits package). Offers within this range are determined based on relevant experience, skills, and qualifications, as well as internal equity considerations. This role is 4 days on-site Monday to Thursday with Friday's work from home.

This job posting is for an existing vacancy.

Candidates must be legally eligible to work in Canada. At Dentalcorp, we recognize that inclusivity and diversity strengthen our culture and make us better. We are committed to ensuring that the talent we hire is reflective of the diverse communities and patients we serve. To ensure equal opportunity for all candidates, we strongly encourage applicants requiring an accommodation to let their recruiter know during the recruitment/selection process. We appreciate all applicants for taking the time to apply, however, only those selected for an interview will be contacted .