Scala Data Engineer (Java)
On-site
Develop and maintain data engineering pipelines. Work with Scala or Java, Flink, and Kafka.
Workforce | Intelligence | Growth Talent Expertise Meets Agentic AI-Driven Scale
San Jose, California
“Connecting Technology with Talent” Founded in 2003 and headquartered in San Jose, California, E-Solutions is a certified Minority Business Enterprise (MBE) delivering Digital Product Engineering, AI-powered transformation, Global Workforce Management, and Business Process Outsourcing solutions to organizations worldwide. With operations across 35+ countries and services spanning 150+ countries, we help enterprises accelerate growth by combining technology, talent, and innovation. Our expertise includes: • Digital Product Engineering • Agentic AI & Generative AI Solutions • AI, Data Engineering & Analytics • Intelligent Automation • Cloud & DevOps • Business Process Outsourcing (BPO) • Global Workforce Management • Recruitment Process Outsourcing (RPO) • Employer of Record (EOR) & Agent of Record (AOR) • Global Payrolling, Compliance & Hire-Train-Deploy Solutions At E-Solutions, we partner with Fortune 500 enterprises, high-growth companies, and digital-first organizations to solve complex business challenges through scalable technology and workforce solutions. Our integrated approach enables organizations to build, modernize, and scale with confidence while driving measurable business outcomes. Connecting Technology with Talent. Powering Intelligent Transformation.
On-site
Develop and maintain data engineering pipelines. Work with Scala or Java, Flink, and Kafka.
Hybrid · Toronto
Design and maintain enterprise data warehouse solutions, financial data models, and scalable ETL/ELT pipelines for finance and lending domains. Collaborate with business stakeholders to define data requirements, ensure data quality and governance, troubleshoot issues, and support cloud platform modernization.
Hybrid · Toronto
Build, optimize, and monitor data pipelines and Databricks Spark workloads that ingest, transform, and process large volumes of data while maintaining data quality, security, and governance. Design enterprise data warehouse solutions and data models, troubleshoot performance issues, and review code for requirements fit and adherence to standards.