DentalcorpVerified Job Source

Associate Data Engineer

Toronto, ON
Hybrid
Posted Sep 15, 2026
1 position

$70,000–$90,000 / year

Opens an external site

Employment type: Full-time
Experience level: Entry, Junior · 1+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 4 days per week

Job summary

The Associate Data Engineer will assist in the development, maintenance, and support of data pipelines and cloud-based data platforms. They will also perform data validation and quality assurance tasks to ensure the reliability of enterprise data assets.

Job details

The Opportunity This is a full-time opportunity supporting Dentalcorp's ongoing data and analytics transformation. Dentalcorp operates a Dental Support Organization (DSO) model across 500+ clinics, centralizing technology, data, and operations while preserving clinical autonomy at the practice level. As Dentalcorp continues to modernize its technology landscape, the Data Engineering & Architecture team plays a critical role in delivering trusted data, scalable platforms, and actionable insights that enable better business decisions and improved patient outcomes. The Associate Data Engineer will contribute to the development, support, and continuous improvement of Dentalcorp's enterprise data platform. In this role, you will work alongside experienced data engineers, architects, analysts, and quality engineering team members to build foundational skills in data pipelines, data modelling, data quality, source system integration, and cloud data platforms. This is an ideal opportunity for someone early in their data engineering career who is eager to learn, enjoys solving technical problems, and wants to grow within a team that is building modern, enterprise-scale data capabilities. Who You Are You are a motivated and curious technology professional with a strong interest in data engineering, analytics, and cloud data platforms. You enjoy working with data, learning new tools, and understanding how reliable data solutions support business decisions. You are comfortable asking questions, receiving feedback, and applying what you learn to improve your work. You are detail-oriented, collaborative, and committed to building strong technical foundations. You understand that high-quality data engineering requires accuracy, documentation, testing, and disciplined delivery. You are energized by the opportunity to grow in a modern data environment where legacy systems, cloud platforms, reporting needs, and business transformation intersect. You are looking for a role where you can contribute meaningfully while continuing to develop your technical skills under the guidance of experienced team members. Our most successful team members are proactive, adaptable, and solution-oriented. They take ownership, embrace change, collaborate openly, and are driven by delivering exceptional results and service. In This Role, You Will Data Pipeline Development & Support Assist with the development, maintenance, and support of data pipelines that enable reporting, analytics, and operational decision-making. Support data ingestion, transformation, and validation activities across internal and external source systems. Work with senior team members to troubleshoot data issues, investigate pipeline failures, and document resolution steps. Contribute to the improvement of repeatable data engineering patterns, templates, and operational runbooks. Snowflake & Cloud Data Platform Exposure Build hands-on experience with Dentalcorp's modern data platform, including Snowflake and related data engineering tools. Support the migration, validation, and modernization of data assets as part of broader platform transformation initiatives. Learn how cloud-based data solutions are designed, deployed, monitored, and maintained in an enterprise environment. Assist with performance investigation, data load validation, and environment support activities under guidance. Data Quality & Validation 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. Documentation, Collaboration & Delivery 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. Learning, Growth & Engineering Discipline 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. What You’ll Bring 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.

What you’ll do

Requirements

Candidates should have at least 1 year of experience or equivalent practical exposure in data engineering, analytics, or software development. Proficiency in SQL and familiarity with ETL/ELT concepts and cloud platforms like Snowflake are required.