Pega Data/Integration Engineer
New
T
TechnatomyEnterprise Software
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLETLData engineeringRESTful APIsJSONData modeling
Requirements
- 5+ years of experience in enterprise application integration, data engineering, API development, data migration, or comparable roles.
- Hands-on experience with Pega data/integration capabilities or strong experience integrating a comparable enterprise workflow or case-management platform.
- Strong knowledge of REST APIs, OpenAPI concepts, JSON/XML, authentication, data mapping, error handling, and secure service design.
- Experience with SQL, data modeling, ETL or batch processing, source-to-target mapping, data quality, and reconciliation.
- Experience designing reliable integrations with logging, monitoring, retry/replay, exception management, and operational support.
- Ability to understand authoritative sources, metadata, lineage, auditability, and data-governance requirements.
- Experience supporting Agile development, testing, release, and production troubleshooting.
- Strong analytical, technical documentation, collaboration, and communication skills.
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Engineering, or a related discipline, or an equivalent combination of education and experience.
- Must be able to obtain and maintain a Public Trust clearance.
Responsibilities
- Design and implement Pega data and integration solutions using data pages, connectors, services, mappings, APIs, and approved enterprise integration patterns.
- Develop and maintain conceptual, logical, and physical data artifacts, mappings, dictionaries, metadata, source-to-target specifications, and interface documentation.
- Implement secure REST/OpenAPI services, request/response orchestration, transformations, and integration error-handling patterns.
- Support ETL, batch, event, or near-real-time data movement for migration, synchronization, reporting, and operational workflows.
- Plan and execute data migration activities, including extraction, cleansing, normalization, legacy crosswalks, reconciliation, exception reporting, and rollback support.
- Preserve authoritative-source discipline, data lineage, traceability, auditability, and consistent definitions across fiscal years and business domains.
- Build resilient integration behavior using idempotency, retries, dead-letter handling, controlled replay, monitoring, and reconciliation.
- Collaborate with Pega architects and developers to keep interface complexity separated from configurable workflow design and minimize custom code.
- Support integration, migration, and data-validation testing; investigate defects and performance issues across Pega, middleware, and source systems.
- Monitor production interfaces and data flows, support onboarding of additional user organizations, and maintain operational documentation and knowledge articles.
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