Senior Data Engineer (Python, Spark, Snowflake) - Toronto, ON

Job Title: Senior Data Engineer (Python, Spark, Snowflake) Location: Hybrid (2 days remote), Toronto, Canada Experience: 5+ Years Rate: 65 CAD to 72 CAD per hour Role Summary We are hiring for the Senior Data Engineer role, where the selected candidate will work on scalable data pipelines and analytics solutions. This position focuses on large-scale data processing, insights generation, and business decision support. Key Responsibilities Design and build scalable data pipelines (batch and real-time). Translate business requirements into data architectures. Solve complex data engineering problems with iterative solutions. Build and maintain a high-volume data infrastructure. Automate cloud workflows, infrastructure, and monitoring. Develop CI/CD pipelines to improve deployment and quality. Collaborate with data scientists, product managers, and analysts. Perform data analysis and data mining for business insights. Create dashboards, reports, and KPI tracking systems. Deliver ad-hoc analysis and long-term data projects. Define and monitor critical business metrics and KPIs. Present insights to technical and non-technical stakeholders. Must-Have Skills Strong experience with Python, Spark (PySpark, Spark SQL), and SQL. Hands-on experience with Snowflake and Hive. Experience building ETL pipelines using Airflow. Strong understanding of data modeling and analytical data systems. Experience with BI tools: Power BI, Tableau, or Qlik. Strong coding skills with clean, maintainable code practices. Experience with Git and CI/CD tools (e.g., Jenkins). Familiarity with Jupyter, Zeppelin, or similar notebook environments. Nice-to-Have Skills Experience with Looker. Exposure to Tableau or Qlik. Familiarity with AWS services and distributed systems. Experience with Presto or similar query engines. Certifications Cloud or Data Engineering certifications are a plus Apply now or share your resume at hr@techedinlabs.com, and our recruitment team will review your profile and reach out if it aligns with client requirements. We value every application and aim to respond to those closely matching the role criteria. Even if you don t hear back this time, we encourage you to stay connected with us for future opportunities. About The Company Techedin is a global IT staffing and technology services firm helping enterprises build high-performance tech teams. We support innovation at scale by connecting skilled professionals to leading companies and impactful projects. We prioritize transparency, responsiveness, and the right fit. Equal Opportunity Statement At Techedin, we welcome applicants of all backgrounds, communities, and experiences. Our commitment to diversity, equity, and inclusion drives us to create hiring experiences that are open, fair, and human-first.

The Senior Data Engineer will design and build scalable data pipelines and analytics solutions, focusing on large-scale data processing and insights generation. The role involves collaborating with various stakeholders to deliver data analysis, dashboards, and reports for business decision support.

Candidates must have strong experience with Python, Spark, and SQL, along with hands-on experience with Snowflake and Hive. Familiarity with ETL pipelines, BI tools, and CI/CD practices is also required.

Identified from the job description. Confirm important requirements above.

• Python
• Spark
• SQL
• Snowflake
• Hive
• ETL
• Airflow
• Data Modeling
• BI Tools
• Power BI
• Tableau
• Git
• CI/CD
• Jupyter
• Zeppelin

• Technology
• Data & Analytics
• Software
• Consulting

Minimum experience

5+ years

Apply by

Oct 24, 2026

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week

Seniority

Associate

Application method

Direct apply is available