Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Snowflake/Python Developer
About the role
As a Snowflake/Python Developer, you will make an impact by designing and building scalable data pipelines and infrastructure that power analytics and machine learning workloads. You will be a valued member of our data engineering team and work collaboratively with data scientists, analysts, and cross-functional stakeholders.
In this role, you will:
· Design, develop, and maintain robust, scalable data pipelines using Python and PySpark to ingest, transform, and serve large-scale structured and unstructured datasets.
· Build and manage data workflows on Snowflake, including schema design, data modeling, query optimization, and performance tuning.
· Implement ETL/ELT processes to integrate data from diverse sources (APIs, databases, event streams, flat files) into centralized data lakes or warehouses.
· Collaborate with data scientists and analysts to understand requirements and deliver clean, reliable datasets for analytics and ML workloads.
· Develop and maintain data quality checks, monitoring, and alerting to ensure pipeline reliability and data integrity.
· Optimize Snowflake costs through warehouse sizing strategies, clustering keys, result caching, and query profiling.
· Participate in code reviews, contribute to best practices, and help establish engineering standards within the data team.
· Document data flows, pipeline designs, and data dictionaries to support cross-functional transparency.
· Support CI/CD practices for data pipeline deployment using tools such as GitHub Actions, Airflow, dbt, or similar.
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 in Canada. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various 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
· Proficiency in Python and PySpark for large-scale data processing.
· Hands-on experience with Snowflake, including schema design, data modeling, and query optimization.
· Demonstrated experience building and maintaining ETL/ELT pipelines integrating diverse data sources.
· Familiarity with CI/CD tooling and practices for data pipeline deployment (e.g., GitHub Actions, Airflow, dbt).
· Strong understanding of data quality principles, monitoring, and alerting strategies.
These will help you stand out
· Experience with cost optimization strategies in Snowflake, such as clustering keys, result caching, and warehouse right-sizing.
· Familiarity with cloud data lake architectures and unstructured data processing at scale.
· Strong documentation habits and experience creating data dictionaries and pipeline design artifacts.
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. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
