About the Position

SQL Data Engineer (Oracle, C#, PL/SQL & SQL Loader)

We're seeking a skilled SQL Data Engineer with expertise in Oracle, C#, PL/SQL, and SQL Loader to join our team in Toronto, ON.

Responsibilities

In this role, you will:

Design and implement efficient data models and integration patterns across Oracle and PostgreSQL environments to support enterprise analytics and reporting.
Develop and optimize C#-based data services and APIs that interact with relational databases and enterprise data platforms.
Build, maintain, and optimize scalable data pipelines using Azure Data Factory for ingestion, transformation, and loading of structured and semi-structured data.
Configure, enhance, and support Microsoft SSIS packages for complex data integration and transformation processes.
Develop advanced PL/SQL procedures, functions, and packages that support business logic, data validation, and high-volume transactional processing.
Monitor, troubleshoot, and optimize end-to-end data workflows across Oracle, PostgreSQL, Azure Data Factory, and SSIS environments.
Collaborate with architecture and application teams to develop secure, scalable, and compliant data solutions aligned with enterprise standards.
Create and maintain technical documentation, data flow diagrams, process documentation, and operational procedures.
Prepare high-quality, AI-ready datasets, metadata assets, and curated data structures to support analytics, machine learning, and predictive modeling initiatives.
Implement data quality controls, validation checks, reconciliation processes, and governance standards that support regulatory and business requirements.
Translate Life & Annuities insurance concepts, including policies, premiums, claims, and reserves, into scalable data models and reporting solutions.
Support deployment planning, release validation, production monitoring, and operational support activities within a day-shift environment.
Communicate effectively with technical and business stakeholders through design discussions, project updates, and issue-resolution activities.

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field.
8-12 years of experience designing, developing, and supporting enterprise data solutions.
Strong expertise in Oracle database development, schema design, performance tuning, partitioning, and PL/SQL programming.
Advanced experience with Azure Data Factory, including pipeline development, orchestration, scheduling, and parameterization.
Strong experience developing and maintaining Microsoft SSIS packages and enterprise ETL workflows.
Hands-on experience with PostgreSQL administration, performance optimization, and query tuning.
Strong C# development experience building data-centric services, APIs, and integration solutions.
Experience designing and implementing scalable data integration and transformation architectures.
Strong understanding of data governance, data quality, security, and compliance practices.
Experience working with enterprise cloud and hybrid data environments.
Strong analytical, problem-solving, and stakeholder management skills.
Excellent written and verbal communication skills in English.

Nice to Have

Experience supporting Life & Annuities insurance platforms and business processes.
Knowledge of policy administration, premiums, claims, reserves, underwriting, and insurance reporting.
Experience preparing AI-ready datasets and supporting machine learning, predictive analytics, or AI initiatives.
Familiarity with modern data architecture patterns, including Data Lakes, Data Warehouses, and Lakehouse platforms.
Experience implementing data observability, monitoring, and automated quality controls.
Exposure to cloud-native analytics and reporting solutions on Azure.
Experience working within Agile delivery environments.
Knowledge of responsible AI, metadata management, and data lineage concepts.

We Offer

Competitive salary between $100,000 and $125,000 per year, depending on experience and qualifications.
Comprehensive benefits package including medical, dental, vision, and life insurance.
Employee Stock Purchase Plan (ESPP) and Employee Assistance Program (EAP).
Paid holidays, paid time off (PTO), and paid parental leave.
Learning and development programs, certifications, and career advancement opportunities.
Wellness and mental health resources.
Career growth and internal mobility opportunities.

About the Company

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 follow us on Twitter.

Application Deadline

Applications will be accepted until October 30, 2026.

Cognizant reserves the right to close this posting earlier based on application volume, business needs, or hiring timelines.

Things to know before you apply

Work authorization: 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.
Accommodations: 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.
AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
Open position: Unless otherwise stated, this job posting is for an open position on our team.
Language proficiency: 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.
Inclusion: 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.

Apply now and join our team to make a real impact!

SQL Data Engineer (Oracle, C#, PL/SQL & SQL Loader)

Job description