
51 - 200 employees
Our passion lies in crafting web and mobile applications that tackle complex business challenges. We have a track record of assisting diverse organizations in enhancing their overall efficiency, reducing operational and IT expenses, and seizing fresh opportunities in the market.
🕒 6 days ago
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Our passion lies in crafting web and mobile applications that tackle complex business challenges. We have a track record of assisting diverse organizations in enhancing their overall efficiency, reducing operational and IT expenses, and seizing fresh opportunities in the market.
• Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms • Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns • Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices • Lead and mentor engineering teams, coordinating deliveries and driving technical standards • Establish and evolve CI/CD pipelines and Infrastructure as Code (IaC) practices for data platforms • Partner with clients and stakeholders to translate business requirements into scalable data solutions • Champion data governance, quality, and security using tools such as Unity Catalog • Contribute to platform modernization initiatives, including Data Warehouse to Lakehouse migrations • Apply Agile methodologies to plan, iterate, and deliver data engineering projects effectively
• 4+ years of hands-on experience with Databricks, including Unity Catalog, Data Ingestion, ETL/ELT pipelines, and Medallion Architecture • Strong programming experience in Python and SQL • 5+ years of experience with public cloud platforms (Azure, AWS, or GCP) • 5+ years of experience as a technical lead or architect, leading engineering teams and coordinating deliveries • 10+ years of overall experience in software development or IT • Experience with CI/CD pipelines and Infrastructure as Code (IaC) • Strong understanding of Agile methodologies and engineering practices
• Salary range of $115K to $145K CAD, commensurate with experience • Flexible remote work environment with optional hybrid collaboration for candidates located in Victoria, BC • Continuous learning and leadership development opportunities • Flexible schedules and generous paid time off • Competitive health, dental, and wellness benefits from Day 1 • Employer-sponsored deferred profit-sharing plan • A collaborative, mission-driven culture where your work matters
Apply Now🕒 June 25
Staff Data Engineer leading data integrations for grocery AI platform at Afresh. Responsible for optimizing ETLs and mentoring engineers.
PySpark
Python
SQL
🕒 June 25
Senior Applied Research Engineer developing AI model systems and gold data layers for healthcare providers at PointClickCare. Fostering innovation and collaboration with AI experts to enhance healthcare delivery.
🇨🇦 Canada – Remote
💵 C$159.1k - C$176.7k / year
💰 Secondary Market on 2022-03
⏰ Full Time
🟠 Senior
🚰 Data Engineer
Airflow
AWS
Azure
PySpark
Python
Spark
SQL
Unity
🕒 June 24
Senior Data Architect optimizing value of data architecture and supporting data platform transformation at Element Fleet Management. Leading data lifecycle activities and collaborating with business partners for effective data governance.
🇨🇦 Canada – Remote
💵 $111.1k - $152.8k / year
💰 $125M Post-IPO Equity on 2014-03
⏰ Full Time
🟠 Senior
🚰 Data Engineer
Azure
ETL
Postgres
SSIS
🕒 June 24
Senior Data Engineer at Samsara helping build data platforms and workflows in an AI-first world. Focused on data architecture and transformation to drive insights and automation.
Apache
AWS
Azure
BigQuery
Cloud
ERP
ETL
Google Cloud Platform
MS SQL Server
MySQL
Oracle
Postgres
PySpark
Python
RDBMS
Spark
SQL
🕒 June 19
Senior Data Engineer developing and managing Flinks' data platform to power their financial intelligence products. Collaborating across teams to establish data governance, observability, and reliability.
Airflow
BigQuery
Cloud
ETL
Python
SQL