Data Engineer – Snowflake & Databricks

About the role

As a Data Engineer – Snowflake & Databricks, you will make an impact by designing, developing, and optimizing scalable cloud data pipelines that support business‑critical analytics and decision‑making. You will be a valued member of our data engineering team and collaborate closely with architects, cloud engineers, and business stakeholders to deliver high‑quality, production‑ready data solutions.

In this role, you will:

• Design and build end‑to‑end ETL/ELT pipelines in Azure Data Factory (ADF) and Snowflake.
• Develop and maintain Python‑based data transformation logic using standard libraries and preferred modules such as Azure SDK, Pandas, Keyring, and Snowflake connectors.
• Leverage Databricks (including notebooks and Spark/PySpark) to support change data capture and advanced data processing.
• Configure and optimize Snowflake components such as COPY INTO scripts, dynamic tables, and tasks.
• Troubleshoot, monitor, and enhance data pipelines, dataflows, orchestration logic, and batch workloads.

Work model:

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants across Canada. Regardless of your working arrangement, we are here to support a healthy work-life balance through our wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered:

• Strong hands-on experience with Snowflake, Databricks (preferred), Python, SQL, and Azure Data Factory (ADF).
• Experience developing ADF pipelines including flow control logic, lookups, copy activities, child pipelines, batch service calls, and script-based activities.
• Proficiency with Snowflake features such as COPY INTO, tasks, dynamic tables, and data ingestion pipelines.
• Solid understanding of data warehousing, ETL/ELT design patterns, CI/CD (Azure DevOps), and modern cloud data engineering practices.
• Ability to troubleshoot, monitor, and optimize cloud-based data pipelines.
• Experience working within Agile delivery environments.

These will help you stand out:

• Hands-on experience with Databricks notebooks, Spark, or PySpark.
• Familiarity with Azure Event Hub, Function Apps, EMS, and event-triggered architectures.
• Strong knowledge of data governance, enterprise data models, and cloud performance best practices.
• Experience with Azure DevOps Boards (ADO) and automated deployment pipelines.

We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Your transferable skills and unique experience may be exactly what we need.

Salary and Other Compensation:

Applications will be accepted until April 12, 2026.

The annual salary for this position is between $ 85,000 - $ 99,000 CAD depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.