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

Support data engineering execution across complex application development initiatives, ensuring ... Develop and maintain SQL Server databases, including schema design, indexing strategies, query ...

Data Engineer

Toronto, ON · Remote

CA$35 - CA$55/hr

Demonstrated work experience in the following with Big Data and distributed programming models and technologies Knowledge of database structures, theories, principles, and practices (both SQL and ...

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

We leverage the latest data engineering and analytics technologies to solve complex business ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Our engineers and designers harness cloud-native tools, autonomous agents, data-driven insights ... Proficiency in SQL, with working knowledge of Python for automation, validation, and pipeline ...

Hybrid, Toronto based Employment Type (Permanent/Contract/Part -time/Intern): Permanent, Full-Time ... You sit between the data and the engineers. You have to translate what you see into something a dev ...

Module 3 -- Data Architecture & Storage Patterns (SQL/NoSQL, sharding, replication, Redis caching) Expert B -- Cloud, Distributed Systems * Module 4 -- Cloud Infrastructure & Platform Engineering ...

Business Analyst

Toronto, ON · Hybrid

CA$85K - CA$105K/yr

Experience with Power Automate, SQL, VBA/macros, or data automation tools considered an asset ... We offer a 40% child care discount to ALL Full-time employees & 10% to Part-time employees so that ...

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Part Time Sql Data Engineer information

What is the difference between Part Time Sql Data Engineer vs Part Time Data Analyst?

AspectPart Time Sql Data EngineerPart Time Data Analyst
Primary RoleDesigning, building, and maintaining data pipelines and databases using SQLAnalyzing data sets to generate reports and insights using SQL and visualization tools
Required SkillsSQL, data modeling, ETL processes, database managementSQL, data visualization, statistical analysis, reporting tools
Work EnvironmentData engineering teams, IT departments, cloud platformsBusiness units, marketing, finance, analytics teams
Common UsageDeveloping data infrastructure for applicationsInterpreting data to support decision-making

While both roles require SQL skills and work with data, Part Time Sql Data Engineers focus on building and maintaining data systems, whereas Part Time Data Analysts primarily analyze data to produce reports and insights. Understanding these differences helps in choosing the right part-time role based on your skills and career goals.

What are the most commonly searched types of Sql Data Engineer jobs in Toronto, ON?

The most popular types of Sql Data Engineer jobs in Toronto, ON are:

What are popular job titles related to Part Time Sql Data Engineer jobs in Toronto, ON?

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

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

Data Engineer

Total Performance Consulting

Toronto, ON • Remote

Part-time

Posted 12 days ago


Job description

Responsibilities
  • Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards.
  • Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs.
  • Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures.
  • Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads.
  • Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team
  • You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle.

Languages and Frameworks

  • MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.
  • MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems.
  • Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues.
  • Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.
  • Python, working proficiency for scripting, automation, and data pipeline support.
  • JS, Node.js, and joi experience a plus.
Tools
  • Experience maintaining projects using a distributed version control system such as Git and GitHub.
  • Experience in automated pipeline deployment and schemas into production environments.
  • You should be experienced with agile methods and the concepts behind continuous delivery.
  • We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.
  • We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.
Education
  • BS in Computer Science and a minimum of five years of experience delivering production solutions
Focus
  • Minimum 5+ years working in Data Science.
  • We expect you to have a passion and experience in shipping and maintaining production software products.
  • You must have strong verbal and written skills.
  • We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.
Environment
  • US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices.
  • We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued.

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