data-engineer

data-engineer

data-engineer

data-engineer

data-engineer

data-engineer

Required Skills:

Applied Epic Integration

  • Hands-on experience using the Epic SDK (SOAP).

  • Experience with DevCenter REST APIs.

  • Understanding of Epic data structures for Employee Benefits: plans, enrollments, coverages, commissions, policies, accounts, etc.

Salesforce

  • Strong Salesforce data modeling and integration patterns.

  • Experience working with Salesforce via REST/SOAP, Platform Events, and/or middleware orchestration.

ETL / Middleware

  • Proficiency with one or more: MuleSoft, Synatic, Azure Data Factory, Logic Apps, Boomi, or similar.

  • Strong background designing reliable, secure ETL pipelines.

Azure

  • Building secure, scalable integrations using:

  • Azure Functions

  • API Management- Azure Storage (Blob/Table)

  • Key Vault

  • Event-driven or serverless architectures

General

  • Experience designing secure, performant, auditable data flows.

  • Ability to work autonomously with a distributed team.

  • Excellent communication and documentation skills.

Role Overview

The engineer will be responsible for:

  • Designing and implementing bi-directional integrations between Salesforce and Applied Epic.

  • Creating robust ETL pipelines to synchronize Employee Benefits data.

  • Managing authentication, security, and governance across Azure components.

  • Troubleshooting integration failures and optimizing data flow performance.

  • Collaborating with Salesforce admins, Epic SMEs, and solution architects.

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London

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Malaga

London

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