Associate Software Engineer – Core Product Development
About The Position
OnCoor Inc. is a data integration and analytics company building intelligent, metadata-driven platforms to simplify enterprise data transformation, governance, and analytics. Our products help enterprises accelerate onboarding, improve data quality, and operationalize analytics across complex ERP and cloud environments. We are looking for a hands-on Backend / Data Platform Engineer to join our Core Product Development team in San Ramon. This role is ideal for engineers who enjoy building data-intensive backend systems, working on integration frameworks, and designing scalable processing engines that connect to multiple enterprise sources. You will work closely with product, data, QA, and DevOps teams to design and implement core backend services powering OnCoor’s metadata-driven platform. This is an on-site role and requires close collaboration with engineering leadership and customer-facing teams.
Requirements
- Strong experience with JavaScript / TypeScript and Node.js (backend)
- Solid understanding of SQL and relational databases (PostgreSQL / SQL Server or similar)
- Experience building REST APIs and backend services
- Strong knowledge of data modeling, data validation, and data processing concepts
- Experience working with multiple system integrations (APIs, databases, enterprise platforms)
- Git and collaborative development workflows
- Debugging, performance tuning, and troubleshooting skills
- Familiarity with cloud environments (Azure preferred)
- Strong analytical thinking and problem-solving ability
- Excellent communication skills with an ownership and delivery mindset
Nice To Haves
- Exposure to ERP systems (SAP or similar)
- Experience with metadata-driven architectures
- CI/CD familiarity
- Background in data integration or enterprise SaaS platforms
Responsibilities
- Design, build, and enhance backend services supporting OnCoor’s data processing and integration platform.
- Implement scalable APIs and services for metadata-driven workflows.
- Develop robust data ingestion, transformation, and validation pipelines.
- Support multiple data connections (ERP systems, databases, APIs, cloud services).
- Take ownership of backend components and data processing modules.
- Handle development, debugging, testing, and production support with minimal supervision.
- Ensure performance, reliability, and maintainability of core services.
- Contribute to architecture discussions for scalable data engines.
- Propose improvements to system design, data handling, and integration patterns.
- Evaluate new approaches for performance, reliability, and extensibility.
- Collaborate with senior engineers to align on architecture and coding standards.
- Contribute to documentation and internal knowledge sharing.
- Support continuous improvement of engineering practices.
- Build and maintain data validation, mapping, and transformation logic.
- Support metadata-driven designs and complex data relationships.
- Assist in preparing datasets for analytics and AI/ML-enabled features.
- Participate in sprint planning, estimation, and delivery tracking.
- Communicate progress, risks, and blockers clearly to technical leads and stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
