Senior Data & Integration Engineer (ai Platforms & Salesforce Ecosystem)
Epicor
Not specified; not specified; comprehensive health...
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Strong python backend engineering experience
Salesforce integration expertise required
Etl pipelines and large-scale data processing
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Epicor is seeking a Senior Data & Integration Engineer to develop AI-driven products and manage data integrations, particularly with Salesforce. The ideal candidate will possess strong backend engineering skills, experience in data engineering, and a collaborative spirit to solve complex integration challenges.
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Job Summary
This role focuses on designing scalable backend services and integrating Salesforce with other enterprise systems to support AI-native applications.
Candidates will be responsible for building ETL pipelines, enabling AI use cases through retrieval systems, and ensuring production-grade reliability.
Epicor offers comprehensive benefits including health and wellness programs, internal mobility opportunities, and free LinkedIn Learning licenses.
Matching Summary
Match Score: 75
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Epicor is seeking a Senior Data & Integration Engineer to develop AI-driven products and manage data integrations, particularly with Salesforce. The ideal candidate will possess strong backend engineering skills, experience in data engineering, and a collaborative spirit to solve complex integration challenges.
**
Salary
Not specified; Not specified; Comprehensive health and wellness benefits included
Skills & Requirements
Must-have
Strong Python backend engineering experience
Salesforce integration expertise required
ETL pipelines and large-scale data processing
APIs, microservices, and event-driven architectures
Cloud platform experience (Azure preferred)
AI/ML systems including RAG and embeddings
Nice-to-have
Vector databases and data retrieval systems
Machine learning workflow collaboration
Frontend experience with React or Angular
Performance and cost optimization in AI systems
Mentoring junior engineers and best practices
Key Requirements
Senior level experience in data and integration engineering
Proven track record with Python and SQL
Hands-on experience with SaaS platforms like Salesforce
Familiarity with modern data stacks such as Airflow or dbt