About the role
As a GCP Data Engineer, you will make an impact by designing, building, and optimizing scalable data pipelines and data delivery solutions that power business-critical applications. You will be a valued member of the data engineering team and work collaboratively with architects, business stakeholders, and downstream data consumers to deliver reliable and high-quality data solutions.
In this role, you will:
Design and develop scalable data pipelines and data flows to support multiple applications and business use cases
Build and maintain Python-based frameworks and packages for data ingestion, transformation, and historical data tracking
Develop and optimize BigQuery functions and queries to support analytics and custom data requirements
Create and manage data delivery processes, ensuring accuracy, formatting, and compliance with client specifications
Collaborate with architects and cross-functional teams to design robust data solutions and support downstream integrations
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2–3 days per week in a Cognizant or client office in Toronto, ON. 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
8+ years of experience in data engineering or related fields
Strong programming experience in Python for data processing, automation, and packaging
Expertise working with Google BigQuery and writing complex, optimized SQL queries
Hands-on experience building and orchestrating workflows using Apache Airflow (DAGs)
Experience designing and maintaining data pipelines, including ingestion, transformation, and delivery
Ability to work with large datasets and develop solutions for real-time and batch data processing
Experience implementing data quality checks, testing frameworks, and coding standards
Strong collaboration skills to work with architects, stakeholders, and cross-functional teams
These will help you stand out
Experience with alerting and monitoring tools (e.g., PagerDuty or similar systems)
Knowledge of data warehousing concepts and best practices for data modeling
Experience supporting reporting and analytics use cases, including aggregated reporting
Familiarity with CI/CD practices and automated testing in data engineering workflows
Exposure to client-facing delivery environments and handling multiple data requirements
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 perspectives to this role.
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $100,000 - $120,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
Note: 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.
Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
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, state or local laws.
