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Internship Python Sql Developer Jobs in Toronto, ON

Luxoft

Python Developer

Toronto, ON

Strong Python experience in enterprise environments + Knowledge in Java (2 years ... Experience with SQL queries, Docker/Kubernetes * Strong cloud experience (AWS) * Strong unit and ...

Spectrum Health Care

AI Developer

Toronto, ON · Remote

Collaborate with Data Engineering teams to build and maintain scalable, HIPAA‑compliant data pipelines using Python, SQL, Spark, and Databricks to support healthcare AI use cases * Optimize ...

Gtsgbu

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

Build and maintain robust semantic models for both BI and AI applications using Python, SQL, Power ... engineering operations. * Process & Quality Assurance: Documenting the data processing steps for ...

Luxoft

Python Developer

Toronto, ON

... Python experience in enterprise environments + Knowledge in Java (2 years) • Experience ... with SQL queries, Docker/Kubernetes • Strong cloud experience (AWS) • Strong unit and ...

Royal Bank of Canada

DevOps Data Engineer

Toronto, ON · On-site

Logstash, Python, SQL Server, Kafka, Hadoop, Spark, Trino * API: Streamlit, Flask, Node.JS, Django, and Microservices technologies * Automation/DevOps: Github Actions, Airflow, UCD, Selenium and ...

Scotiabank

Developer, AI Engineering

Toronto, ON · Hybrid

The AI Engineer is an individual contributor responsible for designing, building, and ... Expertlevel proficiency in Python, SQL and cloud infrastructure * Handson experience deploying AI ...

Virtusa

Senior Consultant

Toronto, ON

Kinetica, Python, sql, Rest API, Design, develop, and maintain highly efficient and scalable data ... Work within an Agile team to collaborate with data scientists, analysts, and application developers ...

Virtusa

Senior Consultant

Toronto, ON

Kinetica, Python, sql, Rest API, Design, develop, and maintain highly efficient and scalable data ... Work within an Agile team to collaborate with data scientists, analysts, and application developers ...

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Internship Python Sql Developer information

What does an Internship Python SQL Developer do?

An Internship Python SQL Developer is typically responsible for assisting with the design, development, and maintenance of applications that use Python programming and SQL databases. Interns in this role often help write and optimize queries, automate data processing tasks, and support software development teams in building data-driven solutions. They also learn best practices in coding, database management, and may participate in troubleshooting or debugging issues under the guidance of senior developers. The internship provides hands-on experience with real-world projects, helping interns build their technical skills and prepare for a career in software development.

What is the difference between Internship Python Sql Developer vs Python Sql Developer?

AspectInternship Python Sql DeveloperPython Sql Developer
QualificationsEnrolled in or recent graduate of relevant programBachelor's degree in Computer Science or related field, certifications preferred
Work EnvironmentInternship, supervised, entry-level projectsFull-time, professional projects, collaborative teams
ResponsibilitiesAssisting with data queries, learning SQL and Python basicsDeveloping and maintaining SQL databases, scripting in Python, data analysis

In summary, an Internship Python Sql Developer is an entry-level position aimed at learning and gaining experience, while a Python Sql Developer is a full-time professional role with more responsibilities and expectations. Internships serve as a stepping stone toward becoming a full developer.

What types of projects and tasks can I expect as an Internship Python SQL Developer?

As an Internship Python SQL Developer, you'll typically work on real-world projects that involve writing and optimizing SQL queries, developing Python scripts to automate data processing, and supporting database management tasks. You may assist with data extraction, transformation, and loading (ETL) processes, help troubleshoot data issues, and collaborate closely with senior developers and data analysts. This hands-on experience allows you to gain a deeper understanding of database structures and software development workflows, while also enhancing your problem-solving skills in a professional environment.

What are the key skills and qualifications needed to thrive as an Internship Python SQL Developer, and why are they important?

To thrive as an Internship Python SQL Developer, you need a foundational knowledge of Python programming, SQL databases, and basic software development concepts, usually evidenced by coursework or relevant projects. Familiarity with tools like MySQL, PostgreSQL, version control systems such as Git, and possibly cloud platforms is highly beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly will help you stand out. These skills and qualities are crucial for efficiently building, maintaining, and optimizing database-driven applications in a collaborative tech environment.
What are the most commonly searched types of Python Sql Developer jobs in Toronto, ON? The most popular types of Python Sql Developer jobs in Toronto, ON are:
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Internship Python Sql Developer jobs near you
Infographic showing various Internship Python Sql Developer job openings in Toronto, ON as of June 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer - Spark, Databricks & Snowflake (Energy) - DESDSAS

NavitasPartners

Hamilton, ON • On-site

CA$30/hr

Full-time

Posted 13 days ago

Be an early applicant

Job description

Job Title: Data Engineer – Spark, Databricks & Snowflake (Energy)Industry

Energy & Utilities

Position Overview

We are seeking an experienced Data Engineer to design, build, and optimize large-scale data platforms supporting operational, customer, asset, and energy market analytics. The ideal candidate will have strong expertise in Databricks, Spark, Snowflake, and cloud-based data engineering solutions.

Responsibilities
  • Develop scalable ETL/ELT pipelines using Spark and Databricks.
  • Build enterprise data solutions on Snowflake.
  • Integrate data from SCADA, IoT sensors, smart meters, ERP, CRM, and trading systems.
  • Design batch and real-time data ingestion frameworks.
  • Optimize data performance, reliability, and scalability.
  • Implement data quality and monitoring processes.
  • Support predictive maintenance and asset performance analytics initiatives.
Required Skills
  • Apache Spark (PySpark, Spark SQL)
  • Databricks
  • Snowflake
  • Python, SQL
  • Azure Data Factory, AWS Glue, or GCP Dataflow
  • Kafka/Event Streaming
  • Delta Lake
  • CI/CD and DevOps practices
Preferred Skills
  • Smart Grid Analytics
  • Energy Trading Data
  • Renewable Energy Operations
  • IoT and Time-Series Data Management
Mandatory Experience
  • 5+ years of Data Engineering experience.
  • Must have prior experience working within the Energy, Utilities, Oil & Gas, Renewable Energy, or Energy Trading sector.

For more details reach at resumes@navitassols.com