1

Sql Developer Data Engineer Jobs in Toronto, ON (NOW HIRING)

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 ...

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 ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

  • Medical

  • Retirement

Strong programming skills in SQL, Python, or related languages. * Experience with big data technologies and concepts (Spark, Hadoop, Kafka). * Excellent analytical, troubleshooting, and problem ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

  • Medical

  • Retirement

Strong programming skills in SQL, Python, or related languages. * Experience with big data technologies and concepts (Spark, Hadoop, Kafka). * Excellent analytical, troubleshooting, and problem ...

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 ... PySpark and analytical SQL * Power BI and/or Tableau * Apache Airflow, dbt, Alation * Strong ...

Data Engineer

Toronto, ON

CA$85K - CA$135K/yr

We are seeking a highly skilled Data Engineer II to design, build, and scale robust data platforms ... Advanced proficiency in SQL and data modeling concepts. * Hands-on experience with: * Apache Spark ...

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 ... PySpark and analytical SQL * Power BI and/or Tableau * Apache Airflow, dbt, Alation * Strong ...

The Data Engineer works closely with analytics, operations, IT, data governance, and AI ... Strong SQL experience for data transformation, validation, reconciliation, and performance tuning.

Senior Data Engineer

Toronto, ON · On-site

CA$110K - CA$145K/yr

SENIOR DATA ENGINEER- Toronto ( 3 days downtown/Hybrid) Our client is interviewing to onboard a ... Strong skills in SQL, Python, Airflow, Snowflake, AWS Glue, S3, Lambda, and Terraform. * Experience ...

Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory, SQL Server Integration ... Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub Actions, Cloud Build) and infrastructure ...

Designs, builds, and maintains scalable data architectures and data pipelines using SQL Server (on ... Proactively recommends and executes improvements to engineering practices, tooling, and delivery ...

Showing results 21-40

Sql Developer Data Engineer information

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 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.

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.

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 popular job titles related to Sql Developer Data Engineer jobs in Toronto, ON?

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

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

The top searched job categories for Sql Developer Data Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Sql Developer Data Engineer jobs?

Cities near Toronto, ON with the most Sql Developer Data Engineer job openings:

Infographic showing various Sql Developer Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full-time

PTO

Re-posted 10 days ago


Job description

Requisition ID: 252985 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovation initiatives across multiple strategic projects. The ideal candidate will have a solid foundation in Python, with exposure to Spark, Hadoop, and cloud platforms considered a strong asset. This role offers hands-on experience, mentorship, and opportunities for continuous learning and career growth.

Is this role right for you? In this role, you will:

  • Design, build, and maintain scalable data pipelines using Apache Spark, PySpark, Apache Beam, or Flink.
  • Develop and enhance ETL/ELT workflows using Airflow and ETL tools such as Talend, Spring Batch, or NiFi.
  • Work with structured and semistructured data (CSV, JSON, XML, Parquet, ORC, Iceberg) and apply data wrangling techniques using Python and pandas.
  • Contribute to Test Automation Framework enhancements, ensuring reusable and scalable automation components.
  • Support Group Intake Automation by translating business and operational requirements into backend workflows and data processes.
  • Contribute to BotData Enhancement, developing synthetic data generation and validation logic using PySpark.
  • Develop, test, and optimize Python scripts for automation, data transformations, and validation.
  • Participate in Agile ceremonies (stand-ups, planning, retrospectives) and contribute to documentation and knowledge sharing.
  • Collaborate with crossfunctional teams to support analytics, AML/KYC improvements, governance, and operational reporting.
  • Implement DataOps/DevOps best practices including CI/CD pipelines (Jenkins, Cloud Build), automated testing, and infrastructure-as-code using Terraform.
  • Perform data profiling, quality checks, and root-cause analysis to improve data reliability.
  • Provide support for production systems, ensuring stability, observability, and continuous improvement.

 

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

  • 5+ years of IT experience, including 3+ years in Data Engineering, data integration, or analytics engineering.
  • Strong programming skills in Python, with experience in Java or Scala considered an asset.
  • Handson experience with Apache Spark, PySpark, Beam, or Flink for largescale data processing.
  • Proficiency in SQL and experience building ETL/ELT workflows.
  • Experience working with file formats such as Iceberg, Parquet, ORC, JSON, XML.
  • Strong understanding of modern data architectures (Medallion, Lakehouse, Data Warehouse).
  • Experience with orchestration tools such as Airflow.
  • Hands-on experience with GCP services (Airflow, Cloud Storage, Cloud Build), or similar cloud platforms.
  • Practical knowledge of CI/CD, Jenkins, Cloud Build, GitHub/GitLab/Bitbucket, and Terraform.
  • Familiarity with RDBMS technologies (Oracle, SQL Server, DB2) and exposure to NoSQL stores (MongoDB, Cassandra, Elasticsearch).
  • Experience with Linux/Unix CLI and shell scripting.

 

What's in it for you?

  • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
  • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.  
  • Upskilling through online courses, cross-functional development opportunities, and tuition assistance. 
  • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
  • Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
  • Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.