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Data Integration Specialist

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Onsite

Data Integration Specialist

JLL

Data Integration Specialist

Skills

PythonData ScienceNumPypandasGitData AnalysisAzure

6 months ago

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Important information


Contract type:

Permanent

Salary:

$90,000 – $110,000 / year

Location:

Chicago, IL, USA

Work mode:

Onsite

Published on:

11 August 2026

What they need


Find your next move at JLL and build a fulfilling career

At JLL, we value what makes you unique, and we’re committed to give you the opportunity, knowledge and tools to own your success. Explore opportunities to advance your career from within, whether you’re looking to move up, broaden your experience or deepen your expertise.

Have a Referral for this role? Log into Refer2JLL to submit them for the opportunity. Data Integration Specialist The successful candidate will leverage their expertise in data analysis, REST APIs, and integrations by managing all aspects of discovery and data integrations to support multiple client projects on the PRISM platform. This client-centric role requires someone who can understand property management data structures and anticipate client needs while delivering exceptional data integration solutions that exceed expectations.

Key Responsibilities:

  • Lead client-focused discovery sessions to gather requirements and scope data integrations for PRISM
  • Configure and build data integrations with Azure Data Factory and custom Python scripts for complex data transformations
  • Develop innovative data transformation and integration solutions to solve unique property management data challenges
  • Collaborate with internal and external key stakeholders to deliver data-driven integration solutions with a focus on client satisfaction
  • Create and maintain documentation related to data integrations and workflows
  • Stay current with new technologies, approaches, and best practices in data integrations

Required Qualifications:

  • Bachelor's degree in Business, Computer Science, Data Science, Information Systems, or a related field
  • Proven experience in data integrations (3+ years preferred)
  • Strong data transformation skills across various software CRE platforms and tools
  • Demonstrated ability to work effectively in matrix environment with cross-functional teams.
  • Experience working in SaaS product implementation projects with strong client relationship management skills
  • Demonstrated ability to transform and manipulate property management data for PRISM platform integration
  • Advanced data mapping and transformation expertise with ability to work across multiple data formats and systems.
  • Advanced problem-solving skills with ability to translate client business needs into technical data solutions
  • Understanding of data modeling, ETL processes, and data integration techniques
  • Knowledge of property management data structures and systems is helpful
  • Superior client-facing communication skills with ability to explain complex data concepts in accessible terms
  • Client-first mindset with passion for delivering exceptional customer experiences
  • Ability to manage and prioritize workload across multiple PRISM implementation projects

Preferred Qualifications:

  • Proficiency in Python-related libraries (e.g., NumPy, Scikit-learn) beyond Pandas
  • Experience developing innovative data transformation techniques for property management datasets
  • Experience building data pipelines with Azure Data Factory
  • Experience with cloud-based data platforms and services
  • Familiarity with Agile methodologies
  • Relevant certifications in data integrations or Python programming
  • Experience with version control systems (e.g., Git)

This role offers an exciting opportunity to work with the cutting-edge PRISM platform while prioritizing client relationships. The ideal candidate will combine technical expertise in data transformation with property management knowledge and exceptional client service, developing creative data integrations solutions that address unique business challenges. You will play a key role in ensuring smooth data transitions for our clients while maintaining high standards of accuracy and customer satisfaction.

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