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Sql Developer Data Engineer Jobs in Ontario (NOW HIRING)

GEI Consultants

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...

GEI Consultants

Data Engineer

Guelph, ON · On-site

CA$90K - CA$150K/yr

Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...

GEI Consultants

Data Engineer

Kitchener, ON · On-site

CA$90K - CA$150K/yr

Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ... Azure DevOps). * Knowledge of data governance principles, including data cataloging, lineage ...

Sun Life Financial

Senior Data Engineer

Waterloo, ON · On-site

Demonstrated Experience in cost and performance optimization of Spark and SQL jobs * 5 years hands ... Knowledge and experience working with DevOps technologies * Experience working in a large financial ...

Sun Life Financial

Senior Data Engineer

Toronto, ON · On-site

Demonstrated Experience in cost and performance optimization of Spark and SQL jobs * 5 years hands ... Knowledge and experience working with DevOps technologies * Experience working in a large financial ...

NearSource

Senior Data Engineer

Toronto, ON

Develop and optimize SQL queries and data models to enable efficient analytics and reporting ... Advanced programming skills in Python and SQL , with a focus on clean, modular code. * Solid ...

Sun Life Financial

Senior Data Engineer

Waterloo, ON · On-site

Demonstrated Experience in cost and performance optimization of Spark and SQL jobs * 5 years hands ... Knowledge and experience working with DevOps technologies * Experience working in a large financial ...

Sun Life Financial

Senior Data Engineer

Toronto, ON · On-site

Demonstrated Experience in cost and performance optimization of Spark and SQL jobs * 5 years hands ... Knowledge and experience working with DevOps technologies * Experience working in a large financial ...

Tiger Analytics Inc.

Data Engineer

Toronto, ON · On-site

... to handle unstructured data (text, images, PDFs). * DevOps & IAC: Experience deploying ... Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS. Benefits ...

Scotiabank

Data Engineer

Toronto, ON · On-site

We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovation ... Proficiency in SQL and experience building ETL/ELT workflows. * Experience working with file ...

SuiteSpot

Data Engineer

Toronto, ON · On-site

SQL: Strong fundamentals, comfortable with CTEs, window functions, and complex aggregations. You know when SQL is the right tool and when it isn't. * Data pipelines: You understand how operational ...

StackandCo

\n \n \n \n \n We have teamed up with a leading software company based in Dublin who have an urgent need for an experienced C++ Developer with strong SQL skills to join the team on a long term ...

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Showing results 21-40

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Sql Developer Data Engineer information

What is a SQL developer data engineer?

SQL Developer Data Engineers are technology professionals who design, develop, and maintain databases and data pipelines using SQL and related tools. They are responsible for extracting, transforming, and loading (ETL) data to ensure it is accessible, reliable, and optimized for analysis and reporting. These engineers collaborate with other IT and business teams to support data-driven decision-making, improve data quality, and implement data security measures. Their work is crucial for organizations that rely on large amounts of data for their operations and analytics.

How do SQL developer data engineers typically collaborate with data analysts and other stakeholders within a company?

SQL Developer Data Engineers frequently work closely with data analysts, business intelligence teams, and other stakeholders to ensure data is accessible, reliable, and optimized for analysis. They are responsible for designing and maintaining the data infrastructure, writing complex queries, and translating business requirements into technical solutions. Regular meetings and clear communication are essential, as they often need to explain technical concepts to non-technical team members and incorporate feedback to refine data models or reporting systems. This collaborative environment enables efficient data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as an SQL developer data engineer, and why are they important?

To thrive as an SQL Developer/Data Engineer, you need strong proficiency in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools, data warehousing solutions, and platforms like Microsoft SQL Server, Oracle, or cloud-based databases, as well as certifications such as Microsoft Certified: Azure Data Engineer Associate, are often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and translating business requirements into technical solutions. These skills and qualities enable efficient data management, reliable data pipelines, and actionable insights that drive business decisions.

What is the difference between Sql Developer Data Engineer vs Data Analyst?

AspectSql Developer Data EngineerData Analyst
Required SkillsSQL, ETL, data modeling, programming (Python, Java)Data visualization, statistical analysis, SQL
CertificationsSQL certifications, cloud platform certificationsData analysis or visualization certifications
Work EnvironmentData pipelines, database management, cloud platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

The Sql Developer Data Engineer focuses on building and maintaining data pipelines, databases, and infrastructure, often working with large-scale data systems. Data Analysts interpret data, create reports, and provide insights for decision-making. While both roles require SQL skills, Data Engineers typically have more programming and system architecture responsibilities, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Sql Developer Data Engineer jobs in Ontario?

For Sql Developer Data Engineer jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Sql Developer Data Engineer jobs in Ontario look for?

The top searched job categories for Sql Developer Data Engineer jobs in Ontario are:

What cities in Ontario are hiring for Sql Developer Data Engineer jobs?

Cities in Ontario with the most Sql Developer Data Engineer job openings:

Sql Developer Data Engineer jobs near you
Infographic showing various Sql Developer Data Engineer job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

GEI Consultants

Markham, ON

CA$90K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

285th of 449 rated engineering

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • 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 requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 
x 
Lifting (floor to waist level) (in pounds)
x 
 
 
 
Lifting (waist level and above) (in pounds)
x 
 
 
 
Carrying objects
x 
 
 
 
Push/pull
x 
 
 
 
Twisting
x 
 
 
 
Bending
x 
 
 
 
Reaching forward
x 
 
 
 
Reaching overhead
x 
 
 
 
Squat/kneel/crawl
x 
 
 
 
Wrist position deviation
 
x 
 
 
Pinching/fine motor skills
x 
 
 
 
Keyboard use/repetitive motion
 
 
x 
 
Taste or smell (taste=never)
 
 
 
x 
Talk or hear
 
 
x 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
x 
Far Vision
 
x 

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