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# Software Engineer

- **Company:** Everpure, Inc.
- **Location:** Santa Clara, CA, United States
- **Salary:** $135,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Code Review, Continuous Integration, Extract Transform Load (ETL), Distributed Computing Environment, Python (Programming Language), Cloud Services, Software Systems, SQL Databases, Apache Spark, Git, Data Analytics, Restful APIs, Software Version Control, Data Pipelines, Microservices
- **Published:** September 21, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2981174647-2

## About the Role

* Python
 * SQLCloud platforms (AWS, Azure, or GCP)
 * Data pipelines/ETL development
 * Distributed data processing (e.g., Spark)
 * RESTful APIs and microservices
 * CI/CD and Dev
 * Ops practices
 * Relational and No
 * SQL databases
 * Version control with Git
 * Data warehousing and BI fundamentals

## Description

Everpure, Inc. is seeking a Software Engineer to build scalable, cloud-based data and analytics solutions for clients across industries. In this role, you will design and implement data pipelines, services, and applications that power BI, AI, and advanced analytics use cases. You'll collaborate closely with consultants and client stakeholders to translate requirements into robust technical designs, writing clean, testable code and leveraging modern cloud technologies. We value curiosity, ownership, and collaboration, offering a learning-focused, flexible environment where you can experiment with new tools, share knowledge, and grow your expertise while solving complex, high-impact data challenges., * Design, develop, and maintain data-intensive software solutions on modern cloud platforms

 * Build and optimize scalable data pipelines and analytics services for client projects
 * Collaborate with consultants and clients to translate business requirements into technical designs
 * Implement clean, testable, and well-documented code using modern engineering best practices
 * Integrate data sources, APIs, and cloud services to support BI and AI/ML workloads
 * Participate in code reviews, architecture discussions, and technical design sessions
 * Monitor, troubleshoot, and improve performance, reliability, and security of deployed solutions
 * Contribute to internal tools, accelerators, and reusable components for data and analytics
 * Stay current with emerging data, cloud, and AI technologies and share knowledge with the team
 * Support project planning by estimating effort, identifying risks, and suggesting technical approaches


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