OverviewWe are seeking a Senior Data & Integration Engineer to design, build, and scale AI-driven products and data integrations across our platform, with Salesforce as a key system within a broader ecosystem. This is not a traditional Salesforce development role — the focus is on integrating systems, enabling data flow, and supporting AI-native applications.This role combines backend engineering, data engineering, and AI integration. You will work across systems to deliver scalable, reliable, and observable solutions that power both internal and customer-facing products.Key Responsibilities
- Design and build scalable backend services (primarily Python) to support AI-driven products and integrations
- Develop and maintain integrations between Salesforce and other enterprise systems (e.g. Workday, ServiceNow, financial platforms)
- Build and optimise ETL pipelines, data workflows, and event-driven architectures
- Enable AI/ML use cases by supporting data pipelines, retrieval systems (RAG), and embedding workflows
- Integrate AI capabilities into complex workflows with a focus on reliability, auditability, and performance
- Collaborate with Product, Data, and Engineering teams to translate business problems into scalable technical solutions
- Implement observability (logging, metrics, tracing) and ensure production-grade reliability
- Contribute to architecture decisions across data, integration, and AI platforms
- Mentor junior engineers and promote engineering best practices
- Strong backend engineering experience (Python preferred)
- Proven experience in data engineering: SQL, ETL pipelines, and large-scale data processing
- Hands-on experience integrating SaaS platforms (Salesforce experience required, but not limited to internal platform development)
- Experience working with APIs, microservices, and event-driven architectures
- Exposure to modern data stacks (e.g. Airflow, dbt, Spark, or similar)
- Experience with cloud platforms (Azure preferred)
- Familiarity with AI/ML systems, including GenAI tooling (RAG, embeddings, evaluation frameworks)
- Strong understanding of system design, scalability, and observability
- Experience with vector databases and data retrieval systems
- Exposure to machine learning workflows or data science collaboration
- Frontend experience (React/Angular) for full-stack contributions
- Experience optimising performance, latency, and cost in AI systems
- Be comfortable working across multiple systems and data environments
Have strong SQL and data pipeline experience - Be able to integrate Salesforce into a wider architecture (not build exclusively within it)Bring curiosity and adaptability across AI, data, and engineering domains
About Epicor
At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.
We’re Proactive, Proud, Partners.
Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.
Competitive Pay & Benefits
Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.
Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
Global Mobility: Comprehensive support for international relocations and permanent residency processes.
Equal Opportunities and Accommodations Statement
Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless.
We are an equal-opportunity employer.
Recruiter:
Kai LewisSkills Required
- Strong backend engineering experience (Python preferred)
- Proven data engineering experience including SQL, ETL pipelines, and large-scale data processing
- Hands-on experience integrating SaaS platforms with Salesforce experience required
- Experience working with APIs, microservices, and event-driven architectures
- Exposure to modern data stack tooling (Airflow, dbt, Spark, or similar)
- Familiarity with AI/ML systems and GenAI tooling (RAG, embeddings, evaluation frameworks)
- Strong understanding of system design, scalability, and observability (logging, metrics, tracing)
- Experience with cloud platforms (Azure preferred)
- Experience integrating enterprise systems such as Workday or ServiceNow
- Mentoring or leadership experience with junior engineers and promoting engineering best practices
Epicor Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Epicor and has not been reviewed or approved by Epicor.
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Healthcare Strength — Health coverage (medical, dental, vision) is characterized as decent to solid, complemented by wellness resources. Company materials highlight health and wellness programming alongside core plans.
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Leave & Time Off Breadth — Flexible or unlimited PTO exists in U.S. roles, and the organization emphasizes taking time to recharge. When team norms support it, the flexibility is considered a meaningful perk.
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Retirement Support — A 401(k) with company match is available as part of the standard offering. The match level is generally viewed as modest but serviceable.
Epicor Insights
What We Do
We’re the Digital Brains of Our Customers’ Operations We help businesses stay future-ready with cognitive ERP that connects people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.
Why Work With Us
Our policies are built on mutual trust, support, and a commitment to maintaining a healthy work-life balance. That's why we encourage you to take the time off you need to rest, recharge, and reconnect.
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