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Data Engineer Sports Analytics Jobs in Ontario (NOW HIRING)

The Opportunity This is a full-time opportunity supporting Dentalcorp's ongoing data and analytics ... The Associate Data Engineer will contribute to the development, support, and continuous improvement ...

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 ...

... analytics, reporting, and BI tools used across the business * Work closely with cross-functional ... to data engineering * Contribute to process improvements, documentation, and knowledge sharing ...

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.

... analytics, reporting, and BI tools used across the business * Work closely with cross-functional ... to data engineering * Contribute to process improvements, documentation, and knowledge sharing ...

Company Description Are you a Data Engineer with experience building cloud-based data solutions and ... Transform HL7, FHIR and EDI messages into clean canonical schemas for storage and analytics

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.

Data Engineer

Toronto, ON

CA$70K - CA$80K/yr

Partner with analysts, strategists, and ad-ops to translate reporting and measurement needs into scalable data models. * Contribute to data quality, documentation, and engineering standards across ...

... analytics, reporting, and BI tools used across the business * Work closely with cross-functional ... to data engineering * Contribute to process improvements, documentation, and knowledge sharing ...

More specifically, you will work with business analysts and operational stakeholders to identify ... data engineering toolsets such as AirFlow, Argo, dbt, Nifi * 7 years of experience with data ...

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our ... Conduct in-depth analysis of large, complex datasets to uncover critical trends, patterns, and ...

Data Engineer III

Toronto, ON · On-site

CA$96K - CA$136K/yr

We are hiring a Senior FinOps Data & Automation Engineer to build the data, automation, and analytics foundation for an enterprise FinOps capability. This role will support cost transparency ...

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing ... Work closely with AI/ML teams to support data modeling and analytics initiatives. · Data ...

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing ... Work closely with AI/ML teams to support data modeling and analytics initiatives. Data Governance ...

Our engineers are the technical visionaries behind our innovative solutions. Globally recognized ... Collaborate with analysts to deliver modelled data, dashboards, and reports. * Troubleshoot and ...

Lead Data Engineer

Toronto, ON · Hybrid

CA$106K - CA$148K/yr

You'll thrive in this position if you're analytical, detail-oriented, and passionate about data quality and engineering excellence in a fast-paced, high-impact environment. Key Responsibilities

Showing results 21-40

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 Ontario?

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

What job categories do people searching Data Engineer Sports Analytics jobs in Ontario look for?

The top searched job categories for Data Engineer Sports Analytics jobs in Ontario are:

What cities in Ontario are hiring for Data Engineer Sports Analytics jobs?

Cities in Ontario with the most Data Engineer Sports Analytics job openings:

Infographic showing various Data Engineer Sports Analytics job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Full-time

Medical, Dental, Vision, PTO

Posted 12 days ago


OSL Retail Services rating

4.4

Company rating: 4.4 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

27th of 30 rated technology retailers


Job description

At OSL Retail Services, we believe people are the heart of everything we do, and it is an exciting time to be part of something special! Our momentum is growing, and is fueled by innovation, collaboration, and a shared entrepreneurial spirit that drives real results. Founded in 2012 in Mississauga, Ontario, OSL delivers customized sales solutions in retail, direct sales, and customer acquisition, all built on a foundation of integrity, respect, and passion. Our culture thrives on connection, purpose, and growth. If you’re looking for a place where your talents are valued, your ideas matter, and your career can grow, we’d love to meet you.

About the opportunity:

We are seeking a Data Engineer

Reporting to the Manager, Data Systems, the Data Engineer is responsible for developing and maintaining business intelligence solutions, crafting, and executing queries up request for data and presenting information through reports and visualization. OSL Retail Services is a collaborative, fast paced and innovative company, to be successful in this role you must thrive in a fast-moving, ever-changing environment.

Location: Mississauga (CANADA)

What you’ll do:

  • Translate business needs into technical specifications, working directly with stakeholders.
  • Design, build, and automate data flows that land data from varied sources (APIs, SaaS platforms, flat files, operational databases) into Postgres, handling incremental loads, deduplication, and schema drift.
  • Move and model data into our warehouse and build the analytical structures on top of it (OLAP cubes, semantic models) that let stakeholders’ self-serve.
  • Maintain and support our existing data workflows and reporting.
  • Write and optimize complex SQL and run the analyses that answer questions directly.
  • Unit-test your pipelines and troubleshoot failures by reading and interpreting error logs.
  • Collaborate with engineering, analytics, and business teams on system integrations.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Excellent organizational skills
  • Strong written and verbal communication skills

What you’ve done:

  • Proven experience as a Data Developer, analyst, engineer, or Data Scientist
  • Background in data warehouse design, dimensional modeling, and data mining
  • In-depth understanding of database management systems and ETL (Extract, Transform, Load) frameworks.
  • Experience with Apache Airflow and Spark
  • Experience with RDBMS i.e., creating complex SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS)
  • Knowledge of and experience with different data sources (SQL and NoSQL), programming (Python or R), XML, REST API and JavaScript,
  • Experience and comfort working with open-source tooling.
  • Linux OS background would be an added advantage.
  • Analytical mind with a problem-solving aptitude
  • BSc/BA in Computer Science, Engineering, or relevant field and or relevant knowledge with experience
  • Familiarity with data visualization tools
  • Proven abilities to take initiative and be innovative and collaborative.
  • Positive and supportive tone, attitude, and work ethic

The salary for this role is $65K to $90K, with a yearly eligible bonus. Your final compensation will reflect your years of experience and beyond the numbers, we’re proud to offer a holistic package that includes:

  • Generous time off: Start with 3 weeks of vacation.
  • Comprehensive benefits package: Includes medical, dental, vision and a health spending account.
  • Retirement support: Company-sponsored RRSP matching program to help build your financial future.
  • Award-winning culture: Proud to be one of Canada’s Best Managed Companies for 8 years running — now a Platinum Club member.
  • Invested in you: Structured employee development programs designed to help you thrive.

Interview Steps:

  • Step 1: If your profile is a match, we will invite you for a first conversation with the recruiter.
  • Step 2: The next step is an in-person interview with the hiring manager.
  • Step 3: The final step is an in-person interview with the hiring manager and extended team.

If this sounds like you and you’re excited to be a member of our team, please apply now.  We thank all interested applicants; however, only qualified candidates will be contacted. 

This position requires successful completion of a criminal background check.

Disclaimer: As part of our recruitment process, we utilize artificial intelligence (AI)-based tools to assist with certain stages, including initial resume screening and skills-matching assessments. These tools are designed to help our hiring team identify candidates whose experience and qualifications align closely with the requirements of the role. Please note that all final hiring decisions are made by our recruitment team.  The preceding job description has been designed to indicate the general nature and level of work performed by employees within this job. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.  In compliance with Ontario’s Bill 190, we confirm that this posting represents a current existing vacancy within our organization.


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