We are looking for a Data Engineer to join a real estate and property organization in Chicago, Illinois on a contract-to-permanent basis. This role is ideal for a hands-on builder who can create and improve modern data pipelines, manage core data platforms, and support reliable data delivery across the business. You will work within the Azure ecosystem to develop scalable solutions that connect multiple data sources, strengthen data quality, and enable informed decision-making.<br><br>Responsibilities:<br>• Design, build, and enhance end-to-end data pipelines using Microsoft Fabric and/or Azure Data Factory for production use.<br>• Manage and improve the data environment with a strong ownership mindset, ensuring performance, reliability, and maintainability.<br>• Integrate data from varied sources such as APIs, databases, and flat files into structured, usable datasets.<br>• Develop data models and schema designs that support reporting, analytics, and downstream business needs.<br>• Monitor data quality and implement validation checks, troubleshooting issues through root cause analysis and continuous optimization.<br>• Create scalable cloud-based data solutions within Azure that support long-term operational and analytical goals.<br>• Partner with cross-functional stakeholders to translate business questions into practical data engineering solutions.<br>• Contribute to orchestration, automation, and ongoing support of data workflows using modern engineering tools and programming languages.
We are looking for a Data Engineer to join a growing financial services organization in Chicago, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building in a developing data environment, contributing to a modern cloud-based platform, and helping shape the next phase of the team’s capabilities. You will work closely with key data stakeholders in a nimble setting where initiative, sound judgment, and adaptability are highly valued.<br><br>Responsibilities:<br>• Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem.<br>• Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools.<br>• Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting.<br>• Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure.<br>• Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma.<br>• Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery.<br>• Assess emerging technologies and recommend practical additions to the data stack as business needs evolve.<br>• Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly.
We are looking for a motivated early-career Data Analyst to support utility and sustainability-related data work for a long-term contract opportunity based in Chicago, Illinois. This position is ideal for an entry-level candidate or a detail-oriented individual who enjoys organizing complex information, improving data quality, and turning numbers into practical business insight. You will work closely with finance, real estate, and sustainability partners to help monitor utility spending, strengthen reporting accuracy, and support informed decision-making in a hybrid environment with three in-office days each week.<br><br>Responsibilities:<br>• Review and maintain large volumes of utility data, including invoices for services such as electricity, gas, water, and waste, to help ensure records are complete and accurate.<br>• Examine billing information against agreements and supporting documents to identify discrepancies, support reconciliations, and promote cost control.<br>• Clean, standardize, and organize data from multiple sources so it can be used reliably for tracking, analysis, and reporting.<br>• Assist with dashboards, summaries, and visual reports that present findings clearly to finance, real estate, sustainability, and leadership stakeholders.<br>• Prepare data for sustainability-related reporting, including utility consumption, emissions tracking, and other environmental performance measures.<br>• Document data sources, assumptions, and review steps to strengthen auditability, consistency, and internal controls.<br>• Partner with internal teams as well as outside vendors or utility providers to resolve data questions and improve reporting quality.<br>• Contribute to process improvements in invoice handling, data validation, and recurring analysis to make reporting more efficient over time.
We are looking for a commercially minded Data Analyst to support procurement decision-making within a major real estate environment in Chicago, Illinois. This Long-term Contract position focuses on turning complex procurement and supplier data into practical insights that improve sourcing strategy, performance visibility, and cost control. The role works standard Eastern Hours and partners closely with procurement, finance, and business stakeholders to strengthen reporting, automation, and data quality across the function.<br><br>Responsibilities:<br>• Create and refine Power BI dashboards that provide clear visibility into spend patterns, supplier results, contract activity, and key procurement measures.<br>• Examine procurement data across areas such as property services, facilities, construction, fit-out, and specialized services to uncover trends and improvement opportunities.<br>• Perform detailed spend and benchmarking analysis to highlight savings potential, strengthen category strategies, and support more informed purchasing decisions.<br>• Track compliance-related metrics, identify off-contract purchasing behavior, and prepare reporting that supports governance across procurement activities.<br>• Build and maintain scalable data workflows using Microsoft technologies, including Fabric, Data Factory, Dataflows Gen2, Databricks, and related cloud-based tools.<br>• Develop unified procurement datasets by combining information from enterprise platforms, contract systems, and supplier sources into reliable analytical models.<br>• Use SQL, Python, and PySpark to clean, structure, and transform large volumes of data for reporting and advanced analysis.<br>• Design automation solutions with Power Automate to reduce manual effort, improve accuracy, and increase team productivity.<br>• Work with procurement leaders, finance partners, and other stakeholders to translate business questions into meaningful analysis and present findings in a clear, business-focused way.<br>• Maintain documentation for data definitions, reporting logic, and governance standards while promoting data quality and self-service reporting adoption within the team.
<p>Our client is seeking a <strong>Software Developer / Integration Specialist</strong> with strong experience designing, developing, and supporting enterprise integrations across business systems. This role requires hands-on expertise in <strong>Microsoft Logic Apps</strong>, <strong>EDI</strong>, <strong>C#</strong>, and <strong>T-SQL</strong>. Experience with <strong>Boomi</strong> is highly preferred. The ideal candidate will have a strong background in application integration, data transformation, and system connectivity, with the ability to work closely with technical and business teams to deliver scalable, reliable solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, implement, and support system integrations using <strong>Microsoft Logic Apps</strong></li><li>Build and maintain integration workflows between internal and external business applications</li><li>Develop and support <strong>EDI</strong> transactions and related mapping, troubleshooting, and partner onboarding</li><li>Write, test, and maintain application code using <strong>C#</strong></li><li>Create and optimize stored procedures, queries, and database objects in <strong>T-SQL</strong></li><li>Troubleshoot integration failures, data issues, and performance bottlenecks across connected systems</li><li>Collaborate with cross-functional teams to gather requirements and translate them into technical solutions</li><li>Monitor, document, and enhance existing integration processes for reliability and scalability</li><li>Support deployment, testing, and ongoing maintenance of integration solutions</li><li>Ensure data integrity, security, and compliance across all integrations</li></ul>