Senior Data Engineer

NEARSOURCE TECHNOLOGIES; Toronto; Hybrid; CAD 82,656 - 96,432; Part time

Job summary

NearSource Technologies is seeking a Senior Data Engineer to join our Toronto team in a hybrid role. You will design and scale data platforms, craft analytics pipelines, and enable insights for a Fortune 500 client.

Proficiency in Python, Spark, SQL, and data modeling is essential. You will collaborate with data engineers, data scientists, and product stakeholders, building robust CI/CD pipelines and interactive dashboards.

Qualifications

• 5+ years of hands-on experience with large-scale data systems, pipelines, and relational databases.
• Strong expertise with Spark (DataFrames, Spark SQL, PySpark).
• Advanced programming in Python and SQL with clean, modular code.
• Solid SQL concepts, data modeling, and data warehouses like Hive or Snowflake.

Responsibilities

• Design, build, and scale modern data platforms for real-time and batch processing at enterprise scale.
• Translate business and technical challenges into actionable solutions with documentation and iterative delivery.
• Automate deployment, monitoring, and management of cloud-based data infrastructure for high availability.
• Implement and maintain CI/CD pipelines with automated testing and continuous improvement.
• Collaborate with data engineers, data scientists, and product stakeholders to gather requirements and drive data best practices.
• Develop and optimize SQL queries and data models for analytics and reporting.
• Create dashboards, reports, and analytical tools for business insights.

Skills

Spark

Python

SQL

Data modeling

Airflow

BI tools

Git/Jenkins

Notebook environments

Education

Bachelor's degree in CS/Engineering

Tools

Snowflake

Hive

Airflow

Jupyter

EMR

Zeppelin

Tableau

Power BI

Qlik

Git

Jenkins

Job description

Job Title: Senior Data Engineer

Job Location: Hybrid, Toronto, Ontario, Canada

Job Type: T4 Contract

Experience: 5+ Years

Rate: 60 to 70 CAD PH

Role Summary

NearSource is looking for a Data Platform Engineer with expertise in Python, Spark, and Snowflake to join our engineering team in Toronto. The selected candidate will architect and scale data pipelines, enable analytics, and support critical business insights for a Fortune 500 client.

Key Responsibilities

• Design, build, and scale modern data platforms capable of handling both real-time and batch processing at enterprise scale.
• Translate complex business and technical challenges into actionable solutions through detailed documentation and iterative delivery.
• Automate deployment, monitoring, and management of cloud-based data infrastructure for high availability and reliability.
• Implement and maintain CI/CD pipelines with a strong focus on automated testing and continuous improvement.
• Collaborate closely with data engineers, data scientists, and product stakeholders to gather requirements and drive data best practices.
• Develop and optimize SQL queries and data models to enable efficient analytics and reporting.
• Create intuitive dashboards, reports, and analytical tools that provide actionable insights to business leaders.
• Contribute to analytics initiatives such as performance tracking, segmentation, and revenue optimization.
• Communicate findings effectively by presenting data-driven insights in a clear and strategic manner.

Required Skills & Experience

• 5+ years of hands-on experience working with large-scale data systems, processing pipelines, and relational databases.
• Strong expertise with Spark (DataFrames, Spark SQL, PySpark).
• Advanced programming skills in Python and SQL, with a focus on clean, modular code.
• Solid foundation in SQL concepts, dimensional data modeling, and data warehouses such as Hive or Snowflake.
• Experience with workflow orchestration tools like Airflow.
• Proficiency with BI tools such as Tableau, Power BI, or Qlik.
• Knowledge of CI/CD practices and version control systems (Git, Jenkins).
• Hands-on experience with interactive notebook environments (Jupyter, EMR, or Zeppelin).

Preferred Skills

• Familiarity with Presto and AWS services.
• Experience working with Looker for BI development.
• Understanding of distributed system design with a focus on reliability and resilience.
• Exposure to monitoring and observability tools.

Certifications / Education

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent training and experience)

About NearSource

NearSource Technologies is a trusted partner for future-ready software consulting, enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world's most admired brands, working directly on long-term client initiatives.

Equal Opportunity Statement

NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background. Innovation thrives when everyone feels empowered to contribute.