Data Platforms Software Engineer

Everpure, Inc.
Santa Clara, CA, United States
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$155,000.0 - $195,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Computer-Aided Design Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Business Analytics Applications Microsoft Azure Cloud Computing Code Review Continuous Integration Data as a Services Information Engineering
+6 more
Python (Programming Language) Performance Tuning Software Engineering Systems Integration Data Pipelines Microservices

Job description

Everpure, Inc. is seeking a Senior Software Engineer to design and build scalable data and analytics platforms for enterprise clients. You will architect and implement cloud-native services, data pipelines, and APIs that power BI, AI, and advanced analytics use cases. Partner closely with data engineers, consultants, and client stakeholders to translate business needs into robust technical solutions. You’ll mentor engineers, champion engineering best practices, and experiment with modern tools to improve performance, reliability, and developer experience in a highly collaborative, learning-focused culture., * Design, develop, and maintain scalable software and data services for analytics platforms.

  • Architect cloud-native solutions on AWS, Azure, or GCP to support BI, AI, and advanced analytics.
  • Build and optimize data pipelines, APIs, and integrations with client systems.
  • Collaborate with consultants and client stakeholders to translate business needs into technical designs.
  • Apply engineering best practices, including testing, code review, and CI/CD automation.
  • Mentor junior engineers and contribute to technical standards and patterns.
  • Troubleshoot performance, reliability, and data quality issues across the stack.
  • Evaluate and introduce modern tools and frameworks to improve productivity and platform capabilities.

Requirements

  • Software engineering
  • Data engineering
  • Cloud platforms (AWS/Azure/GCP)
  • Python
  • Scala or Java
  • SQLDistributed systems
  • APIs and microservices
  • CI/CDData warehousing/analytics

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