Informatica Integration Engineer

MACHINE LEARNING TECHNOLOGIES LLC

Dallas (TX)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an Informatica Integration Engineer based in Dallas, TX for a 12-month contract. This role involves designing and managing real-time integrations across various enterprise systems utilizing Informatica tools. Ideal candidates should have substantial experience in API design and event-driven architectures.

The position includes responsibilities such as implementing integration patterns, ensuring data quality, and managing hybrid snapshots. Applicants should be familiar with working with JSON XML transformations and API security standards like OAuth 2.0.

Qualifications

  • Experience in designing and implementing RESTful and SOAP APIs.
  • Strong knowledge of event-driven integrations and messaging queues.
  • Ability to handle high-volume, low-latency transactions.

Responsibilities

  • Design real-time processes and integration tasks using Informatica tools.
  • Manage application integrations across various systems.
  • Implement security standards for APIs and troubleshoot any issues.

Skills

JSON XML transformations
Data enrichment and validation
OAuth 2.0
RESTful API design
Event-driven integrations

Job description

Job Overview

Job ID: J53139

Job Title: Informatica Integration Engineer

Location: Dallas, TX

Duration: 12 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Responsibilities
  • Designing real-time processes using Process Designer (Service Connectors, Process Objects, Guides).
  • Building and managing Service Connectors for REST, SOAP, OData, and custom APIs.
  • Configuring Application Integration Tasks (Service, Process, App Connections).
  • Implementing event-driven integrations using messaging queues, webhooks, and event APIs.
  • Managing Secure Agents, runtime environments, and connectivity for hybrid integrations.
Data Integration & Mapping Skills
  • JSON XML transformations
  • Complex nested structure mapping
  • Data enrichment and validation
  • Applying XQuery, XPath, and expression builders for transformations.
  • Normalizing and canonicalizing data for enterprise reuse.
EAI & Real-Time Integration Skills
  • Designing real-time orchestration flows across enterprise systems Salesforce, InsuranceNow, Azure, IMS, custom apps).
  • Implementing synchronous and asynchronous integration patterns.
  • Using publish/subscribe, request/response, and event-driven patterns.
  • Integrating with message queues (Azure Service Bus).
  • Handling high-volume, low-latency transactions.
API Integration & API Management Skills
  • Designing and implementing RESTful and SOAP APIs using CAI.
  • Creating API proxies, policies, and rate limits using Informatica API Manager.
  • Applying API security standards:
    • OAuth 2.0
    • JWT
    • Mutual TLS
    • API keys
  • Understanding API lifecycle management (design, publish, version, retire).
  • Troubleshooting API failures, latency issues, and payload transformation errors.
Equal Opportunity Employment

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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