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Software Engineer Data Analyst Jobs in Toronto, ON

Ci

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

Partner with Data Engineers to support the successful implementation of solutions. QUALIFICATION REQUIREMENTS: Experience * 2+ years of work experience in quantitative analysis. Education/Training

Spectrum Health Care

Data Engineer

Toronto, ON · On-site

Bachelor's degree in Computer Science, Software Engineering, Data Analytics, or a related technical field * Experience: 3-7 years of hands-on data engineering experience, with a proven track record ...

SALT XC

Software Engineer

Toronto, ON · On-site

Our people combine strategic thinking with AI-powered tools, automation and advanced analytics to ... CORE RESPONSIBILITIES Infrastructure & Data Platform Engineering * Maintain efficient cloud ...

Boosted.ai

Senior Software Engineer

Toronto, ON

Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field. * 3+ ... Experience with machine learning, data analytics, or financial services is a bonus Our Values We ...

Veem

Data Engineer, BI & Reporting

Toronto, ON · Remote

Shape the future of B2B payments -- Data Engineer, BI & Reporting (Analytics Engineer / BI Engineer Hybrid) About the Role We're hiring a Data Engineer, BI & Reporting to own and scale the reporting ...

Teranet

Senior Data Analyst

Toronto, ON

Senior Data Analyst Who We Are Teranet is Canada's leader in the delivery and transformation of ... Partner closely with data engineers and data scientists to ensure data pipelines and models align ...

Guidewire Software

Senior Software Engineer

Toronto, ON · On-site

... analytics, and AI, while shaping how our platform runs in real customer environments every day What ... Design and maintain scalable data processing pipelines for ingesting, parsing, cleaning, and ...

Alquemy

Software Engineer

Toronto, ON · On-site

... data structures, design patterns, algorithm design, and complexity analysis Knowledge of network and web related protocols (e.g., REST, gRPC, HTTPS), security on every step Good grasp of the Agile ...

Konrad

Senior Data Analyst

Toronto, ON · Hybrid

CA$105K - CA$115K/yr

You work closely with consultants, data engineers, developers, designers and clients across multiple engagements. You own analytical problem-solving from discovery to delivery, mentor junior analysts ...

NielsenIQ

Senior Software Engineer

Toronto, ON

Company Description NielsenIQ is a global measurement and data analytics company providing the most ... About this job As a Senior Software Engineer, you will play a critical role in designing, building ...

Scotiabank

Software Engineer

Scarborough, ON · On-site

About the Role We're looking for an Software Engineer to join our Automotive Finance Engineering ... Support data-driven features and collaborate with analytics teams as needed. Customer Focus & Risk ...

Makeship

Senior Software Engineer

Toronto, ON · On-site

As aSenior Software Engineer, you will lead complex technical initiatives, make architectural ... Collaborate closely with the product manager, designer, and data analyst, on your team to ensure ...

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All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in Toronto, ON

Software Engineer Data Analyst information

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

What are the key skills and qualifications needed to thrive as a software engineer data analyst, and why are they important?

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

What cities near Toronto, ON are hiring for Software Engineer Data Analyst jobs?

Cities near Toronto, ON with the most Software Engineer Data Analyst job openings:

Software Engineer Data Analyst jobs near you
Infographic showing various Software Engineer Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Software Engineer (BI)

neptune technologies

Mississauga, ON

Full-time

Re-posted 6 days ago

Job description

Neptune Technology Group Inc. is a technology company serving more than 4,000 water utilities across North America. We make data actionable using effective software and measurement systems that are interconnected by a smart network, with expertise and experience specifically focused on the business of water. The company’s story is rooted in loyalty to our customers and in sound stewardship. Neptune, as your most valued partner in water metering tools, technology, and connectivity, will connect you to what’s next in water. For additional information, visit www.neptunetg.com.

 

 

Software Engineer (BI)

 

 

Position Summary

As a Business Intelligence Software Engineer, you will apply knowledge of enterprise applications and development to analyze, program, and implement Data Sourcing (ETL), Report Building, & Data Governance best practices in support of business objectives.  You will be responsible for the analysis, development, testing, deployment, and post-deployment support of the ETL processes and PowerBI solutions for the Enterprise Applications & Data team.  You will work closely with Product Owners to understand business requirements, design effective ETL solutions, and ensure the reliability and performance of data pipelines.

Responsibilities:

  • Understand business requirements and perform technical implementations using knowledge of enterprise applications and technical expertise.
  • Understand master data management concepts and principles.
  • Design, develop, and maintain ETL processes using SQL Server Integration Services (SSIS) for on-premises and hybrid environments.
  • Develop and optimize SSIS packages for data extraction, transformation, and loading (ETL) from various sources to target databases.
  • Implement error handling, logging, and auditing mechanisms to monitor and troubleshoot SSIS packages for data quality and integrity.
  • Design and implement data integration and orchestration workflows using Azure Data Factory (ADF) for cloud-based data solutions.
  • Perform performance tuning and optimization of ETL processes to meet scalability and performance requirements.
  • Document ETL processes, data mappings, technical specifications, and best practices for reference and future maintenance.
  • Develop PowerBI functionality to optimize, extend, and integrate enterprise applications, data, and reports.
  • Design and develop PowerBI data models, following best practices for dashboard and report creation.
  • Engage in prototyping, designing, and publishing PowerBI Reports.
  • Collaborate with Data Engineers to acquire, clean, and transform data for reporting purposes.
  • Conduct data analysis, profiling, and pattern recognition to troubleshoot and resolve data discrepancies.
  • Support QA and UAT testing activities for PowerBI solutions.
  • Participate in agile team ceremonies including sprint planning, daily stand-ups, backlog grooming, and retrospectives.
  • Stay updated on industry best practices, tools, and technologies related to ETL, data integration, and cloud-based data solutions.

Requirements:

  • 5 + years of relevant experience.
  • Strong interpersonal skills, and strong team-building skills.
  • Pragmatic problem solving and decision-making skills with excellent written and verbal communications.
  • Relentless passion and commitment to operational excellence – delivering in scope, on time, on the budget to the delight of our internal customer.
  • Experience with QAD or SAP ERP Preferred.
  • Experience with Azure or AWS Cloud Preferred.

 

Education:

  • Bachelor's degree in business, computer science, or a related field of study, or equivalent experience.
  • Power BI Certification (Mandatory)
  • Azure Certification (Database, AI/ML)
  • Any Cloud DB Certification

 

Location: Tallassee, Alabama or Duluth, Georgia, Mississauga, ON (Canada) 

Physical Requirements: Sedentary Work - Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects.

Working Conditions: Generally agreeable working conditions such as those found inside offices or equivalent work areas for more than 70% of the time.


Equal Opportunity Employer EEO/AA M/F/Vet Disability

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