Remote Data Jobs • Canada

Initiate and drive applied science initiatives to completion with a focus on improving the acquisition, retention, and expansion of large professionals on the Thumbtack platform. Develop, deploy, and optimize machine learning models and algorithms for various supply shaping problems. Collaborate closely with engineering, product management, business development, and marketing teams to define problems, develop end-to-end solutions, and ensure successful implementation and monitoring of machine learning systems in production.

We are seeking a highly motivated senior software engineer to lead large, strategic, and complex projects, developing scalable systems that enhance our product analytics capabilities. You will help design and architect solutions that can scale to meet our growing business needs. The ideal candidate loves to collaborate with others. We're a hardworking, energetic team that is passionate about our customers.

We’re seeking a GCP Data Analyst with deep expertise in BigQuery, strong SQL and Python skills, and a sharp analytical mindset to support both data validation initiatives and ongoing analytics work. The analyst will work across a variety of data workflows, from validating metrics during system migrations to supporting day-to-day data analysis and reporting needs. You’ll leverage advanced BigQuery features to ensure data integrity and surface meaningful insights.

Looking for Data Engineers with EST availability to assist in developing intelligent solutions enabling customers to accelerate discovery, acquire clinical insight, & address R&D challenges. Responsibilities include data organization & analysis, building data systems & pipelines, preparing data for prescriptive & predictive modeling, & designing end-to-end pipelines within a hybrid big data architecture using Cloud Native AWS, Python, & SQL.

The GIS Data Analyst will work closely with the Ratio.City Planning Data Team and will be responsible for sourcing and managing urban planning data to support the Ratio.City web app. This role involves data quality control, processing, and analysis, transforming data into usable formats, and developing scripts for data acquisition and maintenance. They will also provide technical support to clients, requiring an understanding of users in the land use development realm.

Lead large, multi-month analytics infrastructure projects. Responsibilities include monitoring and optimizing complex DBT job structures, designing multi-domain marts, developing complex metrics on big datasets using DBT and the DBT semantic layer, building automated data quality monitoring, and creating scalable, self-service analytics infrastructure.

This position is needed to co-create with Generative AI tools, partner closely with business stakeholders, and turn data into decision-driving narratives, working at the intersection of strategic insight generation, technical analytics, and AI-augmented discovery, helping us not just answer questions, but ask better ones.

Focuses on data integration, engineering, modeling, and business intelligence, with an emphasis on transforming legacy systems into a cloud-native stack using Databricks, dbt, and other cloud platforms. Plays a key role in developing and maintaining scalable, performance-optimized BI solutions and data pipelines, enabling self-service analytics and driving actionable insights across the organization. Ensures the quality and reliability of data.

Seeking motivated and skilled Master's level interns for Database Engineering to contribute to data management, analysis, and reporting tasks. Primary responsibilities include designing, building, and maintaining data pipelines, optimizing data workflows, and ensuring data security.

We are seeking a talented and motivated Machine Learning Intern to join our team. This role is ideal for a Master’s level student passionate about applying machine learning techniques to solve real-world problems. As a Machine Learning Intern, you will work closely with our data scientists and engineers to develop, train, and deploy machine learning models that drive our technology forward.