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Python Data Developer Jobs in Toronto, ON (NOW HIRING)

We are seeking a dedicated and enthusiastic Junior Developer to support automation and innovation ... The ideal candidate will have a solid foundation in Python, with exposure to Spark, Hadoop, and ...

The role is highly technical and requires expert SAS/Python, data analytics, and Business ... University degree in Business, Engineering, Commerce, Mathematics, or related quantitative ...

New

Develop, test, and deploy robust, maintainable data pipelines and APIs using Python, dbt, Apache ... Knowledge of CI/CD workflows using Azure DevOps and Git is preferred. * Experience using ...

New

Collaborate with DevOps, Scrum, product, application, and business teams to deliver data products ... Strong Python programming and scripting experience for data engineering and automation. * Working ...

... s) (i.e., Python); data science techniques and concepts; working with structured dataand ... Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs ...

Data Engineering Specialist

Toronto, ON · Hybrid

CA$84K - CA$115K/yr

Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark. * Hands-on ... Data engineering certification (e.g., Databricks Certified Data Engineering Associate or ...

25-167 Data Engineer

Oshawa, ON · Hybrid

$75 - $95/hr

Work with Continuous Integration/Continuous Delivery and DevOps pipelines to automate ... Fluent in creating data processing frameworks using Python, PySpark, SparkSQL and SQL Experience ...

... s) (i.e., Python); data science techniques and concepts; working with structured data and ... Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs ...

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 ...

... s) (i.e., Python); data science techniques and concepts; working with structured data and ... Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs ...

... s) (i.e., Python); data science techniques and concepts; working with structured data and ... Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs ...

... s) (i.e., Python); data science techniques and concepts; working with structured data and ... Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs ...

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

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 ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

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

Showing results 41-60

Python Data Developer information

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a Python data developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

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

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

Infographic showing various Python Data Developer 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.

Data Engineer

Scotiabank

Toronto, ON • On-site

Full-time

PTO

Re-posted 12 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.