Remote Pega Data & API Integration Engineer

United States Digital Space LLC; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

United States Digital Space LLC is seeking an Integration Engineer to design and implement Pega data and integration solutions, from data pages and connectors to services and APIs, with an emphasis on secure, scalable patterns.

You will develop data artifacts, mappings, and interface documentation, support ETL and real‑time data movement, and collaborate with Pega architects to minimize custom code while ensuring data lineage and auditability.

Qualifications

• 5+ years in enterprise integration or data engineering roles.
• Hands-on Pega data/integration or similar platform experience.
• Strong REST/OpenAPI, JSON/XML, data mapping and secure service design.
• Experience with SQL, ETL, data quality, and reconciliation.

Responsibilities

• Design and implement Pega data/integration solutions using data pages, connectors, services, mappings, APIs.
• Develop and maintain data artifacts, mappings, metadata, and interface documentation.
• Implement secure REST/OpenAPI services and orchestration patterns.
• Support ETL, batch, event, or near-real-time data movement for migration and reporting.
• Plan data migration activities: extraction, cleansing, normalization, reconciliation, rollback.
• Ensure data lineage, auditability, and authoritative-source discipline across domains.
• Build resilient integration with idempotency, retries, and monitoring.
• Collaborate with Pega architects to minimize custom code in workflows.
• Support testing, defect investigation, and production troubleshooting for interfaces.
• Monitor production interfaces and onboard new user organizations.

Skills

Enterprise integration

Pega data/integration

REST APIs

SQL

Data governance

Agile support

Education

Bachelor's degree

Tools

Pega Platform

Kafka

ServiceNow

Job description

United States Digital Space LLC is seeking an Integration Engineer to design and implement Pega data and integration solutions, from data pages and connectors to services and APIs, with an emphasis on secure, scalable patterns.

You will develop data artifacts, mappings, and interface documentation, support ETL and real‑time data movement, and collaborate with Pega architects to minimize custom code while ensuring data lineage and auditability.