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Internship Python Sql Developer Jobs in Toronto, ON

Senior Data Engineer - Python

Mississauga, ON · On-site

CA$120K - CA$170K/yr

This role requires deep hands-on experience in Python-based data engineering, SQL development, data modeling, and ETL/ELT design, along with familiarity with both relational and NoSQL databases.

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month ... Build and optimize data pipelines using Python, SQL and modern cloud technologies * Develop and ...

The opportunity As a Lead Quality Engineer, you will provide hands-on technical testing expertise ... QuerySurge, Python, SQL, Java/JavaScript, C#, and related scripting languages or AI tools.

The ideal candidate is a well-rounded developer who enjoys using the right tool for the job-whether that's writing Java or Python, managing SQL databases, or deploying projects to the Cloud (AWS/GCP ...

The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse patterns and ...

Basic programming or scripting knowledge (Python, SQL, etc.) is a plus * Willing to work on-site in Toronto * Flexible to work additional hours when needed Fresh grads are welcome to apply! Powered ...

Showing results 21-40

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 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 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 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:

Infographic showing various Internship Python Sql Developer job openings in Toronto, ON as of July 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Senior Data Engineer - Python

Mississauga, ON • On-site

Citi
Banking and Credit Intermediation • 5 - 10K employees

CA$120K - CA$170K/yr

Full-time

Posted 7 days ago


Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz


Job description

We are seeking a skilled and experienced Senior Data Engineer with strong Python expertise to join our Engineering team. The ideal candidate is passionate about building robust, scalable data pipelines and platforms that power analytics, business intelligence, and data-driven decision-making across the enterprise. This role requires deep hands-on experience in Python-based data engineering, SQL development, data modeling, and ETL/ELT design, along with familiarity with both relational and NoSQL databases.

Experience with Big Data technologies such as PySpark, and exposure to platforms like Databricks or Starburst, will be considered a strong advantage. The successful candidate will thrive in a collaborative, fast-paced environment and take ownership of end-to-end data solutions. Responsibilities Design, develop, and maintain scalable Python-based data pipelines for ingestion, transformation, and distribution of data across enterprise platforms.

Build reusable Python libraries, frameworks, and automation utilities to support data engineering workflows. Develop and optimize complex SQL queries, stored procedures, and database objects across multiple relational database platforms. Design and implement ETL/ELT solutions including staging frameworks, incremental processing, data reconciliation, and error handling.

Develop and maintain logical and physical data models to support both operational and analytical use cases. Work with NoSQL databases (e.g., MongoDB) to design data structures and access patterns suited to non-relational workloads. Build and maintain data pipelines using PySpark for large-scale distributed data processing where applicable

Implement data quality, validation, and completeness controls to ensure accuracy and reliability across data products. Collaborate with data scientists, analysts, software engineers, and business stakeholders to understand requirements and deliver high-quality data solutions. Contribute to CI/CD pipelines for automated testing, deployment, and version control of data workflows.

Participate in code reviews, troubleshooting, debugging, and production support of data systems. Support data governance, security standards, and compliance requirements across all data assets. Qualifications Strong proficiency in Python for data engineering, including data transformation, orchestration, workflow automation, and utility development.

Expert-level SQL skills across relational databases (PostgreSQL, Oracle, SQL Server, or MySQL). Solid experience in data modeling - relational and dimensional modeling (Star/Snowflake schemas). Hands-on experience designing and building ETL/ELT pipelines using Python-based frameworks .

Working experience with NoSQL databases, particularly MongoDB. Experience with PySpark and distributed data processing frameworks for large-scale data workloads is a plus. Familiarity with Databricks and/or Starburst is a plus.

Hands-on experience with AI Development Tools such as Claude Code, Devin AI, Cursor, Copilot etc. Knowledge of data formats including Parquet, Avro, and JSON, and storage platforms such as HDFS or cloud object stores. Proficiency with version control (Git) and CI/CD practices for data engineering workflows.

Familiarity with data orchestration tools such as Apache Airflow or equivalent schedulers. Basic working knowledge of Java is a plus. Strong analytical, problem-solving, and communication skills with the ability to work across technical and non-technical teams.

Experience 6+ years of total experience in software or data engineering. Hands-on experience specifically in Python-based data engineering, SQL development, ETL design, and data modeling. Proven experience building and maintaining production-grade data pipelines and platforms at enterprise scale.

Demonstrated experience working with both relational (PostgreSQL, Oracle, SQL Server) and NoSQL (MongoDB) databases in real-world projects. Experience working in regulated or highly process-oriented environments, preferably within Financial Services. Education Bachelor's or Master's degree in Computer Science, Software Engineering, or an equivalent technical field.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: $120,800.00 - $170,800.00 ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above

------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

------------------------------------------------------ This job opening is for an existing job vacancy. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi's EEO Policy Statement and the Know Your Rights poster.


What Citibank employees say

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Benefits

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US