Senior Data & Integration Engineer (ai Platforms & Salesforce Ecosystem)

181

Not specified; competitive pyy & benefits mentione...
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Python backend engineering experience
Salesforce integration expertise required
Sql and etl pipeline development
** Epicor is seeking a Senior Data & Integration Engineer to develop and scale AI-driven products and data integrations, particularly focusing on the Salesforce ecosystem. The role emphasizes backend engineering, data workflows, and AI integration, requiring strong technical skills and the ability to collaborate across teams. **

Job Summary

  • This role focuses on integrating systems and enabling data flow to support AI-native applications rather than traditional Salesforce development.
  • The company offers comprehensive benefits including health and wellness programs, internal mobility opportunities, and free LinkedIn Learning licenses.
  • Candidates will play a key role in shaping how systems connect and how AI is embedded into real-world applications at scale.

Matching Summary

Match Score: 75

** Epicor is seeking a Senior Data & Integration Engineer to develop and scale AI-driven products and data integrations, particularly focusing on the Salesforce ecosystem. The role emphasizes backend engineering, data workflows, and AI integration, requiring strong technical skills and the ability to collaborate across teams. **

Salary

Not specified; Competitive Pay & Benefits mentioned

Skills & Requirements

Must-have

  • Python backend engineering experience
  • Salesforce integration expertise required
  • SQL and ETL pipeline development
  • Cloud platform experience (Azure preferred)
  • API and microservices architecture knowledge
  • System design and observability implementation

Nice-to-have

  • Vector database and retrieval system familiarity
  • Machine learning workflow exposure
  • React or Angular frontend skills
  • Performance and cost optimization in AI systems
  • Mentoring junior engineers capability

Key Requirements

  • Strong backend engineering experience with Python
  • Proven data engineering background in SQL and ETL
  • Hands-on experience integrating SaaS platforms like Salesforce
  • Experience with event-driven architectures and APIs
  • Familiarity with modern data stacks such as Airflow or dbt

Work Rights

Not specified

Tailored Resume

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