HRIS Integrations

DeWinter Group; The Woodlands (TX); Hybrid; USD 130,000 - 200,000; Full time

Job summary

DeWinter Group is seeking a Field Deployment Engineer to join our Professional Services team. You will build and implement integrations between our AI-powered workforce platform and HRIS systems for enterprise clients.

The role requires Python development, API integrations (REST/SOAP), and experience with Workday, SAP SuccessFactors, or Oracle HCM. You will collaborate with client IT and HR operations to ensure successful deployments.

Qualifications

• Bachelor's degree in computer science or equivalent.
• 3–5 years of hands-on experience building and coding integrations in Python.
• Proficiency in implementing API-based integrations, including REST and SOAP.
• Deep experience with at least one enterprise HRIS platform (Workday, SAP SuccessFactors, or Oracle HCM).
• A strong command of SSO and OAuth 2.0 (implementation experience, not just configuration).
• Solid understanding of integration design patterns, such as event-driven architecture, ETL pipelines, and data transformation.

Responsibilities

• Building and implementing end-to-end integrations between the platform and HRIS systems such as Workday, SAP SuccessFactors, and Oracle HCM.
• Partnering with enterprise clients to understand their HRIS architecture and define specific integration requirements.
• Troubleshooting and resolving integration issues in close collaboration with client IT and HR operations teams.
• Documenting integration designs, data flows, and deployment configurations to ensure ongoing stability and maintainability.

Skills

Python

API integrations

REST

SOAP

Workday

SAP SuccessFactors

Oracle HCM

SSO

OAuth 2.0

Event-driven

ETL

Data transformation

Agentic AI

MCP servers

Client-facing

Education

Bachelor’s degree in computer science or equivalent

Job description

Title: Field Deployment Engineer

Job Type: Full-Time

Contract Length: N/A

Pay Range: $130,000 - $200,000 (Base Salary + Bonus + Stocks/RSUs)

Start Date: ASAP

Location: Hybrid - 3-4 days onsite in San Francisco, CA

About The Opportunity

Our client, an enterprise SaaS company focused on AI-powered talent and sales intelligence, is looking for a skilled Field Deployment Engineer to join their Professional Services / Customer Enablement team. This high-impact role involves working directly with enterprise clients to build and implement integrations between the company's workforce intelligence platform and their internal HRIS systems. We are looking for a self-motivated professional who can navigate complex technical requirements and deliver high-quality solutions.

Key Responsibilities & Deliverables

This role is focused on the successful implementation of integration solutions and client enablement. Your responsibilities will include:

• Building and implementing end-to-end integrations between the platform and HRIS systems such as Workday, SAP SuccessFactors, and Oracle HCM.
• Partnering with enterprise clients to understand their HRIS architecture and define specific integration requirements.
• Troubleshooting and resolving integration issues in close collaboration with client IT and HR operations teams.
• Documenting integration designs, data flows, and deployment configurations to ensure ongoing stability and maintainability.

Required Skills & Experience:

We Are Looking For Someone With a Proven Track Record Of Technical Implementation And Client-facing Engineering. The Ideal Candidate Will Have

• Bachelor’s degree in computer science or equivalent.
• 3-5 years of hands-on experience building and coding integrations in Python.
• Proficiency in implementing API-based integrations, including both REST and SOAP.
• Deep experience with at least one enterprise HRIS platform (Workday, SAP SuccessFactors, or Oracle HCM).
• A strong command of SSO and OAuth 2.0 (implementation experience, not just configuration).
• Solid understanding of integration design patterns, such as event-driven architecture, ETL pipelines, and data transformation.
• Understanding of AI systems, including agentic frameworks and MCP (Model Context Protocol) servers.
• Strong communication skills and the ability to work directly with enterprise client teams to drive project success.