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Data Engineer Sports Analytics Jobs in Toronto, ON

Tiger Analytics Inc.

Data Engineer

Toronto, ON · On-site

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Tiger Analytics Inc.

Data Engineer

Toronto, ON · Remote

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · Remote

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · On-site

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Teladoc

Data Engineer

Toronto, ON · On-site

The Data Engineer works closely with analytics, operations, IT, data governance, and AI & Automation stakeholders to move data initiatives from design through production, while maintaining data ...

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows. * Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks. * Automate workflows ...

Scotiabank

Data Engineer

Toronto, ON

The Data Engineer will play a critical role in designing, building, and supporting scalable, secure ... Troubleshoot production issues, perform root cause analysis, and continuously improve pipeline ...

Konrad

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

We hire exceptionally smart, analytical, and hard working people who are lifelong learners. About The Role As a Data Engineer you'll be tasked with designing, building, and maintaining scalable data ...

GFL Environmental

Data Engineer

Vaughan, ON

Utilize AWS analytics and data processing services such as AWS Glue, Amazon EMR, and AWS Lambda to ... Strong programming skills in languages such as Python, SQL, and Java. Data Modeling and ETL ...

GEI Consultants

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

GEI Consultants

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

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Engineering Manager, Data AI & Analytics

Toronto, ON · Hybrid

CA$102K - CA$137K/yr

The Data Engineer Manager partners closely with data architects, analytics teams, and business stakeholders to support enterprise-wide, data-driven decision-making. What you'll be doing. * Lead Data ...

Lakeview Loan Servicing

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the ... In parallel, this individual will help enable downstream analytics, reporting, product capabilities ...

Klick Health

Data Engineer

Toronto, ON · Hybrid

The Data Engineer supports analytics and omnichannel initiatives by designing, building, and maintaining data infrastructure and pipelines that enable scalable, data-driven outcomes. This role works ...

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Enable advanced analytics and ML use cases through optimized data models and pipelines.

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All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Toronto, ON

Data Engineer Sports Analytics information

What does a data engineer in sports analytics do?

A Data Engineer in Sports Analytics designs, builds, and maintains the infrastructure and systems that collect, store, and process large volumes of sports-related data. They ensure data pipelines are efficient and reliable so that analysts and data scientists can access accurate information for player performance analysis, game strategy, and business decisions. Their work involves integrating data from various sources, optimizing databases, and implementing best practices in data security and quality, all within the context of the sports industry.

What are the key skills and qualifications needed to thrive as a data engineer in sports analytics?

To thrive as a Data Engineer in Sports Analytics, you need a strong background in computer science, data modeling, and database management, typically supported by a relevant degree and experience with large data sets. Familiarity with tools and technologies such as SQL, Python, Spark, cloud platforms (AWS, Azure), and ETL pipelines is essential, and certifications in these areas can be advantageous. Excellent problem-solving, teamwork, and communication skills help you collaborate with analysts, coaches, and stakeholders to translate data into actionable insights. These competencies ensure the efficient collection, processing, and delivery of high-quality sports data that drive performance analysis and competitive advantage.

How does a data engineer in sports analytics typically collaborate with data scientists and analysts on a project?

As a Data Engineer in Sports Analytics, you’ll regularly work alongside data scientists and analysts to ensure high-quality, reliable data is available for modeling and analysis. Your responsibilities often include building and maintaining data pipelines, transforming raw sports data into usable formats, and optimizing data storage for performance. Effective communication is key, as you’ll need to understand the analytical requirements and adjust pipelines or data sources accordingly. Collaboration often happens through regular meetings, shared documentation, and close feedback loops to align on project goals and data needs.

What is the difference between Data Engineer Sports Analytics vs Data Analyst Sports Analytics?

AspectData Engineer Sports AnalyticsData Analyst Sports Analytics
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and providing insights
Skills & CertificationsSQL, Python, data warehousing, cloud platformsExcel, SQL, statistical analysis, visualization tools
Work EnvironmentData engineering teams, IT infrastructureBusiness teams, sports analytics departments
Industry UsageSports organizations, tech companies supporting sports dataSports teams, media outlets, betting companies

While Data Engineer Sports Analytics focuses on building and maintaining the data infrastructure necessary for sports data analysis, Data Analyst Sports Analytics concentrates on interpreting that data to generate actionable insights. Both roles are essential in sports analytics but serve different functions within the data ecosystem.

What are popular job titles related to Data Engineer Sports Analytics jobs in Toronto, ON?

For Data Engineer Sports Analytics jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Engineer Sports Analytics jobs in Toronto, ON look for?

The top searched job categories for Data Engineer Sports Analytics jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Data Engineer Sports Analytics jobs?

Cities near Toronto, ON with the most Data Engineer Sports Analytics job openings:

Data Engineer Sports Analytics jobs near you
Infographic showing various Data Engineer Sports Analytics job openings in Toronto, ON as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution.

Data Engineer

Tiger Analytics Inc.

Toronto, ON • On-site

Full-time

Re-posted 4 days ago

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.

Requirements

  • Experience: 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack.
  • AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift.
  • AI/ML Tools: Proficiency in LangChain or LlamaIndex integrated with AWS services to handle unstructured data (text, images, PDFs).
  • DevOps & IAC: Experience deploying infrastructure using AWS CDK or Terraform.
  • Core Skills: Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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