Python Developer (Data) and Databricks

Job Overview

We are seeking a skilled and motivated Senior Python Developer & Data Bricks with strong data-processing experience to join our technology team. This is a six-month contract opportunity with the potential for extension, following a hybrid work arrangement of three days per week onsite in Downtown Toronto.

The successful candidate will design, develop, and maintain scalable data-processing solutions using Python, Pandas, and PySpark. You will collaborate with cross-functional teams to transform, integrate, and process large datasets while ensuring performance, reliability, and data quality.

Responsibilities

• Design, develop, and maintain scalable data-processing applications and pipelines using Python.
• Use Pandas and PySpark to clean, transform, validate, and analyze structured and semi-structured datasets.
• Develop reusable and efficient data-processing components capable of handling large volumes of data.
• Integrate data from multiple sources and formats.
• Optimize Python and PySpark code for performance, scalability, and reliability.
• Implement data validation, error handling, logging, and monitoring.
• Write clean, efficient, testable, and maintainable code.
• Perform unit testing, debugging, code reviews, and performance troubleshooting.
• Collaborate with data engineers, analysts, architects, and other cross-functional stakeholders.
• Participate in Agile development activities, including sprint planning, estimation, and retrospectives.
• Maintain clear documentation for data flows, technical designs, code, and deployment processes.

Required Skills

• Strong hands-on experience developing data solutions using Python.
• Strong practical experience with Pandas for data manipulation, transformation, and analysis.
• Strong practical experience with PySpark for distributed data processing.
• Experience with Databricks environments.
• Good understanding of data structures, object-oriented programming, and Python development best practices.
• Experience building and maintaining ETL/ELT pipelines or other large-scale data-processing solutions.
• Experience working with structured and semi-structured data formats such as CSV, JSON, and Parquet.
• Understanding of data quality, validation, performance optimization, and exception handling.
• Familiarity with the software development life cycle, Agile methodologies, and test-driven development.
• Strong analytical, troubleshooting, communication, and collaboration skills.

Nice-to-Have Skills

• Familiarity with cloud-based data platforms such as Azure, AWS, or Google Cloud.
• Experience with data lake or lakehouse architectures.
• Knowledge of workflow orchestration and scheduling tools.

Join a forward-thinking team that values innovation, collaboration, and continuous learning. We are committed to providing an inclusive environment where your skills can flourish while making a meaningful impact through data and technology. Pay: $70.00-$100.00 per hour

Ability to commute/relocate

• Toronto, ON: reliably commute or plan to relocate before starting work (required)

Experience:

• Data Bricks: 3 years (preferred)
• Python: 7 years (required)

Work Location: Hybrid remote in Toronto, ON