Analytics Data Engineer

Come work with us to do what you love and stay for the Frontier TRACK

Team Centric : We each take responsibility for fostering an environment of personal and professional growth. We are eager to help support and collaborate with one another recognizing that we are better when we work together.

Respectful and Inclusive : We treat everyone the way we want to be treated and accept everyone on the team just as they are.

Autonomous and Accountable : We are entrusted with and given the space to do our work and in turn hold ourselves accountable for results.

Committed to Excellence : We are fueled by the desire to be our best and to make an impact now and tomorrow.

Keep it Real : We lead with integrity and genuineness in our work interactions and relationships.

Were seeking an Analytics Data Engineer to help shape the future of dental supply distribution through data-driven innovation.

Key Responsibilities :

Were looking for a hands-on Analytics Data Engineer who will own our end-to-end data stack - building and tuning data warehouse automating reliable SQL / Python ELT pipelines and delivering analytics and semantic models for dashboards and AI / ML use cases while maintaining strong data-quality and governance standards

Data Engineering

Hands-on data strategy lead Translate business goals into an actionable roadmap for modern data warehousing governed data pipelines and scalable infrastructure.

Data-warehouse Architect build and continuously tune our data lakehouse architecture ensuring high availability cost-efficiency and strong performance across all teams.

Pipeline builder Design automate and monitor ELT workflows using SQL and Python with comprehensive testing and alerting to guarantee accuracy and availability

Governance & quality Implement version control data lineage tracking and access policies; enforce data SLAs and lead root-cause analysis to uphold data integrity and compliance.

Integration specialist Connect and integrate data from various enterprise systems (including CRM and ERP platforms such as HubSpot Acumatica RingCentral) into the data platform ensuring a unified analytics-ready data model.

Analytics

Analytics enabler Build and maintain Power BI semantic models dashboards and self-serve tools that turn raw data into actionable insights for business stakeholders.

AI / ML facilitator Collaborate with the data Team to prepare clean usable feature sets and deploy predictive models that drive revenue operational efficiency and customer value.

Cross-functional collaborator Collaborate with stakeholders to resolve data issues and promote agile insight-driven decision-making.

Qualifications & Experience :

5 years experience in data engineering analytics or a related field.

End-to-end ownership : Demonstrated success owning end-to-end data pipelines and business intelligence assets in a high-growth fast-moving organization (e.g. building ETL workflows and delivering BI dashboards).

Data & AI projects : Experience partnering with data science teams to deploy predictive or generative AI models (leveraging Python-based ML frameworks or cloud AI services) that lifted revenue and reduced operational costs.

Modern data stack : Deep understanding of modern data stack technologies and cloud platforms (AWS or Azure) including hands-on experience with AWS managed services such as S3 AWS Lake Formation Glue EMR EC2 AWS Lambda Athena and comparable Azure data services.

Security & governance : Strong background in data security and governance implementing data encryption access controls / roles and data lineage tracking (familiarity with tools like AWS Lake Formation or Azure Purview for data cataloging is a plus).

SQL & Python expertise : Expert at writing analytical SQL (in databases or warehouses like PostgreSQL MySQL Snowflake or Amazon Redshift) and building ELT jobs in Python (using frameworks like dbt Apache Airflow or AWS Glue). Able to create complex DAX measures in Power BI and design robust data pipelines that scale.

Strategic execution : Demonstrated ability to turn strategic business objectives into a concrete plan for data warehousing governed analytics and practical AI / ML deployment (for example aligning cloud data platforms and machine learning services like AWS SageMaker or Azure ML with business goals).

Cloud data warehousing : Skilled at architecting implementing and continuously optimizing scalable cloud data warehouses (for example solutions on Snowflake Amazon Redshift or Databricks Lakehouse) to keep high-quality analytics-ready data flowing to the business.

System integration : Experience integrating data from CRM and ERP systems (e.g. HubSpot CRM Acumatica ERP) via APIs or connectors merging these data sources into a unified analytics platform.

• Relevant industry certifications are a plus for example AWS or Azure cloud certifications or data platform certifications like Snowflake or Databricks.

Why join us (Brace yourself)

We offer competitive compensation

Extended Health and Dental Benefits Plan (100% Employer-paid Premiums on eligible benefits)

Continuous Learning Assistance Program reimbursing up to $1500 per calendar year

Corporate Goodlife Membership Discount

Group RRSP (Non-match)

15 Vacation Days to start and scale to 20 Vacation Days.

Paid Religious Holidays

Paid Volunteer Days

Flexibility to help you balance work and life

Supportive leadership team and Culture Committee that works to maintain a positive culture

Competitive yet collaborative work environment

Fully stocked snacks team BBQs and other company paid meals (we love to eat!)

What are we at the frontier of

Providing quality and top brand dental supplies to dental practices all across North America. Our customers trust our deep knowledge of the dental trade and our ability to provide the right products at competitive prices all through simple and efficient channels. We currently sell and distribute more than 30000 unique products to 2000 dental offices in Canada and the U.S. Were on the cusp of something big.

With roots in the dental wholesale and distribution industry Frontier Dental Supply Inc. was formed in 2016. We are headquartered in the Greater Toronto Area (GTA).

We are proud to have been certified and awarded the following :

Great Place to Work for three consecutive years.

The Best Workplaces in 2021.

Finalist for Fastest Growing Company 2021 and Startup Business of the Year 2021 by CanadianSME.

Excellence in Customer Service 2023.

Who is at the frontier of our success

Our people. Our people make it all possible. Thats why we seek to grow our team with individuals who desire to stay on course the Frontier TRACK.

Learn more about what its like to work at Frontier Dental Supply Inc. from our very own employees on our Glassdoor page.

Were rooting for you! We thank all candidates for taking the time to apply. However only those candidates selected to move forward in our recruitment process will be contacted.

Here at Frontier Dental we are a diverse team that nurtures an inclusive environment. We attribute our growth significantly to our ability to learn from one anothers perspectives. Frontier Dental values the unique skills and experiences of each of our candidates; recognizing that each prospective team member contributes to our efforts in building a diverse and inclusive place to work. We are committed to being an equal opportunity employer and are happy to provide accommodations upon request at all stages of the recruitment process. Should you require any disability-related accommodation to support your participation in our recruitment process please notify us and we will work with you to meet your accessibility needs.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities duties and skills required of employees so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time as needed.

Frontier Dental uses an automated Applicant Screening Tool to assist in reviewing applications. This tool evaluates candidates based on job-related criteria including skills experience and qualifications listed in your application materials.

You may request an alternative non-automated assessment or an explanation of how the evaluation was conducted by contacting . All notices and candidate requests will be documented for compliance purposes

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1