Java Full Stack Developer
Hybrid · Toronto
Develop Java backend solutions and React-based applications, integrating services through REST/SOAP APIs and microservices. Contribute to workflow and process design and help scale engineering teams.
RI
Rivago Infotech Inc
Verified Job SourceRecruitment agencyA global staffing leader committed to empowering people
Wilmington, Delaware
Staffing and Recruiting
11–50 people
About
Rivago Infotech is a global professional services and staffing organization, delivering exceptional talent and technical solutions across IT, Non-IT, Healthcare, and Engineering sectors. Through our professional services division, Evergreen, we provide seasoned technical advisors and culture consultants who partner with clients to solve their most critical business challenges. Our high-touch, client-focused approach ensures unmatched quality, responsiveness, and flexibility. Clients value us for our streamlined execution, efficient service, and exceptional talent management that goes beyond traditional staffing. At our core, we are committed to empowering people to reach their fullest potential. We invest in their personal, professional, and financial growth, enabling them to make a meaningful impact on the world around them. To learn more, visit www.rivagoinfotech.com.
Open positions
iOS Developer
Hybrid · Toronto
Design, build, and maintain native iOS applications for phones and tablets, integrating them with back-end services. Collaborate with engineers to deliver features, improve application performance and quality, fix bugs, and maintain code quality and automation.
Data Engineer
Hybrid · Toronto
Build, maintain, and optimize scalable data pipelines using Databricks, Spark/PySpark, and SQL, integrating data from Azure storage and other systems for analytics and BI. Improve workload performance and reliability, implement governance and security controls with Unity Catalog, and deploy Databricks artifacts across environments using Databricks Asset Bundles.
Data Engineer
Hybrid · Toronto
Build, optimize, and monitor data pipelines and Databricks Spark workloads for large-scale data ingestion, transformation, and analysis while maintaining data quality, security, and governance. Design enterprise data warehouse solutions, perform data modeling and SQL development, troubleshoot performance issues, and review code for quality and standards compliance.