Top Data Jobs in Toronto
Senior Data Analyst role at Coconut focusing on data analysis, data visualization, and driving business decisions through actionable insights. Lead complex projects, mentor colleagues, shape data strategy, and collaborate with stakeholders to transform raw data into compelling narratives. Utilize skills in analytics, statistics, and data modeling to provide mission-critical reporting and analysis.
Seeking a Senior Data Engineer with extensive experience in building self-service enterprise scale data platforms with microservices architecture. Responsible for architecture, design, and development of the enterprise data platform, including data storage optimization, data quality frameworks, advanced analytics, and machine learning capabilities. Collaborates with cross-functional teams to design data models and storage solutions while staying updated on the latest data engineering trends and technologies.
Create and maintain patient records in the CRM, execute administrative tasks, ensure data integrity, liaise between team members, handle faxes, organize work schedule, label and attach documents, cover various shifts, perform ad hoc duties.
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The Senior Data Engineer I at Pax8 designs, develops, tests, deploys, and maintains systems for data collection, transformation, storage, and management. They work on individual projects based on deadlines, collaborate with teams, and provide technical leadership in data system development. Responsibilities include building scalable data pipelines, mentoring junior engineers, and optimizing code quality. Ideal candidates have 4+ years of data engineering experience with expertise in Python, SQL, Apache Spark, Apache Kafka, and job orchestration tools.
The Data Engineering Manager at Robinhood will lead a team responsible for owning and maintaining data pipelines and datasets. They will coach and mentor engineers, deliver impactful projects, and improve data accessibility within the company. This role requires 5+ years of experience as a software engineer or data engineer and 3+ years as a manager.
The Data Analytics Lead Analyst is a strategic professional responsible for integrating subject matter expertise, contributing to data analytics standards, and providing guidance on complex deliverables. This role involves resolving issues, analyzing technical solutions, and developing comprehensive knowledge to accomplish business goals.
Python Data Analyst role focusing on geospatial analytics, NLP, and data analytics. Involves working with internal datasets, developing data processing/ETL, API development, and assisting with competitive use cases. Onsite in Toronto as a Temporary Contractor with 37.5 hours per week.
Design, build, and maintain scalable and efficient data services to collect, process, and transform data from various sources into usable format. Integrate diverse data sources and formats, including structured and unstructured data, APIs, and streaming data.
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Collaborate with various teams to build data pipelines, infrastructure, and tools to support business initiatives. Design and maintain data pipelines, enhance data engineering architecture, ensure performance and reliability goals are met. Adapt to new technologies, maintain data lake integrity, take ownership of projects, and collaborate with teams across the company.
Join Wealthsimple's Data Science team to drive decision-making for Investing and Banking products by building data models, applying statistical techniques, and collaborating with product teams. Influence strategic decisions through data analysis and machine learning solutions. Requires strong Python, SQL, statistical, and machine learning skills.
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Seeking a highly skilled Senior Big Data Engineer with expertise in developing batch processing systems using the Apache Hadoop ecosystem and working on Machine Learning pipelines. Responsible for developing scalable code, managing batch pipelines, and leveraging GCP for big data processing. Requires strong communication skills and ability to solve complex problems independently.
The VP, Business Development role is responsible for leading relationships with key strategic accounts, and for cultivating relationships with key prospective accounts. This role will largely focus on our Data and AI vertical. The VP will ensure that all aspects of account work, from strategic development to execution, are exceeding client expectations.
Seeking a Data Scientist with expertise in Python, geospatial analytics, NLP, and data processing. Responsibilities include working with internal datasets, developing APIs, and assisting with competitive use cases. This is a temporary contractor position based in Toronto.
As a Marketing Data Analyst, you will analyze data to enhance marketing strategies and initiatives, develop reports, and provide insights to optimize marketing efforts. Responsibilities include data collection, reporting, campaign analysis, market research, customer segmentation, data quality management, and performance optimization.
Data Engineers at Credera work closely with Subject Matter Experts to design the ontology, develop data pipelines, and integrate Foundry with external systems. Responsibilities include project work with Palantir Foundry, Python expertise, machine learning, and collaboration with Product teams. Requirements include proficiency in Python, PySpark, SQL, AWS, Git, and agile working methodology.
Seeking a highly skilled Senior Data Scientist to lead data science and machine learning efforts, uncover valuable insights from product data, guide strategic decision-making, and contribute to the growth and success of the company.
Looking for a Data Architect to work on building end-to-end data pipelines, developing analytical processes, managing a central data lake, and creating visual analytics with Tableau. Responsibilities include defining product vision, collaborating with stakeholders, overseeing data pipelines, mentoring team members, and implementing advanced analytics techniques.
Lead Data Engineer role within DNA Data Integration Services team focusing on Hadoop and Cloud data transformations, legacy code modernization, and business program support. Collaborate with various teams to enhance technologies and data processes.
Exadel is seeking a highly experienced Senior AWS Developer to design and implement complex Data applications using AWS services, Spring framework, Apache Camel, Kafka, and SQL. Responsibilities include developing Java-based applications, real-time data processing, data transformation logic, and staying updated with industry trends.
Looking for a Principal Data Scientist experienced in supply chain optimization and inventory allocation, with strong coding capabilities in Python.
Partner with teams to extract insights from complex data, build metrics and data products, deliver actionable recommendations, and communicate results effectively.
The Senior Data DevOps Engineer at Jamf is responsible for automation and development of the backend infrastructure that powers the Jamf Cloud, ensuring security best practices, developing custom tools and automation, and supporting software development.
Design, build, and maintain scalable data pipelines and ETL processes, optimize data models for analytics and machine learning, ensure data quality and integrity, collaborate with data scientists, manage database systems, maintain data security, evaluate new technologies, document data architectures.
Lead and manage the Snowflake, DBT, and Fivetran ecosystem to drive revenue, sales engagement, and brand recognition. Collaborate with practice leaders to develop channel GTM strategy and support sales quota. Drive demand generation campaigns and maintain alliance tasks.
The Linguistic Data Specialist at Dialpad will work on expanding Ai features to additional languages, starting with German and French. Responsibilities include collecting training and development data, guiding model design and evaluation, and ensuring accuracy of transcription and annotation data.
Top Toronto Companies Hiring Data Roles
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