Committed to providing industry-leading IT solutions to companies of every size with focus, professionalism & integrity.
Princeton, New Jersey
Princeton IT Services, Inc. has been trusted for more than 20 years by top IT professionals in some of the largest companies in the world as Technology Consultants specializing in Data Analytics, Database Technology Solutions, Infrastructure Management Services, Software Development, and Server Automation. Our Services: ➤ Cloud Data Analytics ➣ Building Data Analytics on Cloud – Big Data, Data warehouse, Data Lake, Business Intelligence and Analytics, ➤ Managed Database Services ➣ Full Managed database services – Database Administration – Proactive maintenance, patching, upgrading, performance tuning, etc.. ➤ Cloud Migrations ➣ Migrating On-premise systems to Cloud – AWS/Azure/GCP ➤ Application Software Development ➣ Developing Application Software – Web & Mobile applications. ➤ Heterogeneous Database Migrations ➣ Migrating from one vendor database product to another - Example – Sybase to Oracle, Oracle to PostgreSQL, etc.. ➤ Database Architecture, Design & Development ➣ Data Modeling for Transactional (OLTP) and Analytical Systems(OLAP). Development of data load procedures, business logic, reports/analytics. ➤ Technology Staff Augmentation/Professional Services ➣ Provide Technical Staff to clients on both contract/professional services and full-time basis. As third-party consultants, we come in and understand your needs, evaluate the bigger picture, and structure a plan for quick yet long-term success with your IT Initiatives. Our subsidiaries include: https://tech365.io - Managed Services Provider (MSP) https://SkillConnect360.com - Staffing People, Engaging Talent! 100% dependable | 100% client satisfaction | 100% success rate
Remote · Canada
Design and maintain cloud-native data ingestion pipelines and transformation models using AWS and Snowflake. Manage orchestration via Airflow on EKS and ensure platform reliability, scalability, and cost optimization.
Hybrid · Toronto
Lead the end-to-end delivery of complex financial technology and enterprise integration initiatives, focusing on core banking and payment platforms. Coordinate across product, engineering, and security teams to ensure solutions align with regulatory and business requirements.
On-site · Toronto
Design enterprise data models and conversational AI architectures for a modern data platform using Databricks. Guide delivery teams in adopting architecture standards and create reusable patterns to enable trusted, scalable data products.
Remote · Canada
Develop scalable backend services and build RESTful APIs using Java and Python. Create clients for data streaming platforms and implement cloud-native application architectures.
On-site · Toronto
Design, build, and maintain the EMFI Data Application Platform, focusing on scalable microservices and Snowflake-native applications. Collaborate with stakeholders to translate business requirements into secure, performant backend features and data products.
On-site · Toronto
Design and build scalable distributed platforms focusing on edge computing, backend services, and AI/ML enablement. Lead the architecture of event-driven microservices and develop production-grade solutions on AWS.
On-site · Toronto
Lead the design and implementation of Snowflake-native data architectures and production ETL/ELT pipelines. Develop internal utilities and apps using Snowpark while optimizing query performance and implementing data governance.
Hybrid · Toronto
Evaluate emerging technologies and design proof-of-concepts for next-generation Agentic AI solutions. Architect, develop, and deploy scalable Java backend microservices while leading technical decision-making processes.
On-site · Toronto
The Lead Data Scientist is responsible for developing, deploying, and monitoring Data Science solutions using various AI techniques. This includes transforming business challenges into scientific research problems and building data-driven solutions.
On-site · Toronto
Lead the ingestion, transformation, aggregation, and processing of large scale datasets to enable advanced analytics and downstream consumption. Design, build, and maintain robust, scalable data pipelines across Hadoop/Databricks and enterprise data platforms.
On-site · Toronto
Lead the development and maintenance of scalable, reliable data pipelines and data processing frameworks. Collaborate with cross-functional teams to deliver end-to-end data solutions while ensuring data quality and compliance with regulations.
On-site · Toronto
The role involves designing, building, and maintaining the EMFI Data Application Platform, focusing on delivering reliable and secure data products. The engineer will collaborate with stakeholders to translate requirements into backend features and ensure end-to-end feature delivery.
On-site · Toronto
The Data Engineer will design, build, and operationalize Snowflake-native solutions, focusing on data architecture and platform engineering. Responsibilities include building ETL/ELT pipelines, optimizing query performance, and implementing data governance.
On-site · Toronto
The Backend Engineer will design, develop, and maintain scalable backend services using Python, focusing on API development and platform engineering. They will collaborate with various teams to deliver end-to-end solutions and optimize backend services for performance and security.
Hybrid · Toronto
The Senior Java Engineer will design, architect, develop, test, and implement Java-based backend solutions while owning features from concept through implementation. They will evaluate and recommend technologies and frameworks, build scalable applications, and collaborate with product teams to transform ideas into working solutions.
On-site · Toronto
The role involves designing, building, and maintaining the EMFI Data Application Platform, focusing on delivering reliable and secure data products. The engineer will collaborate with stakeholders to translate requirements into backend features and ensure end-to-end feature delivery.
Remote · Toronto, Ontario, Canada
The QE Mobile Test Automation Engineer will design, develop, and execute automated tests for mobile applications. They will collaborate with the QA team to identify automation opportunities and integrate tests into the software development lifecycle.
On-site · Toronto
The Database & Integration Engineer will design, develop, and maintain enterprise data integration solutions while supporting ETL development and data migration projects. They will collaborate with various teams to ensure data integrity and high system performance.
On-site · Toronto
Job Title : Senior IOS Engineer Job Type: Contract Location: Downtown , Toronto. Job Overview We are looking for a Senior iOS Engineer with experience in native iOS mobile application development. Your primary focus will be developing the Payfare iOS apps and their integration with our back-end services. As a Senior iOS Engineer, you will be working in a small team maintaining and making additions to our iOS applications as well as creating brand new applications from the ground up. Reports To Director of Mobile Engineering Responsibilities And Duties Support the entire application li…
On-site · Toronto
Job Title: Senior Quality Engineer Location: Toronto, Ontorio Employment Type: Contract Job Overview: We are seeking a curious, detail-oriented Senior Quality Engineer skilled in exploratory and functional testing to join our dynamic team. You will play a key role in expanding our testing framework, ensuring thorough test coverage while maintaining system responsiveness and reliability. Our tech stack includes tools such as Jira, Xray, Jenkins, Appium, Xcode, Android Studio, TestFlight, Kibana, Pytest, Cucumber, and TDD test automation frameworks. We continuously evaluate and adopt better…
