We are looking for a Data Engineer to take ownership of a growing enterprise data platform. This role is best suited for a highly capable, hands-on individual who can build, optimize, and support modern data solutions while working closely with business and technical stakeholders. The position offers the opportunity to shape data architecture, improve data accessibility, and contribute to a scalable analytics environment. This is an onsite role, with three days per week in the office.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that support enterprise reporting, analytics, and operational needs.<br>• Develop and enhance data integration workflows using Microsoft Fabric or Azure Data Factory to move and transform data efficiently.<br>• Create and refine data models and architecture standards to improve consistency, performance, and long-term usability across platforms.<br>• Write production-quality Python code to automate data processing, validation, and orchestration tasks.<br>• Partner with cross-functional teams to understand business requirements and translate them into practical data engineering solutions.<br>• Monitor data platform performance, troubleshoot issues, and implement improvements that strengthen reliability and maintainability.<br>• Work with large-scale data technologies such as Spark, Hadoop, Kafka, and ETL frameworks to support evolving data initiatives.<br>• Contribute to the expansion of the data function by documenting processes and, over time, providing guidance to team members as needed.
We are looking for a Data Engineer to help build and maintain scalable data solutions that support critical business operations within the brokerage industry. This role is based in Chicago, Illinois, and focuses on designing reliable data pipelines, improving data accessibility, and enabling efficient processing across large datasets. The ideal candidate brings strong technical expertise in modern data engineering tools and enjoys working in a fast-paced environment where data quality, performance, and consistency are essential.<br><br>Responsibilities:<br>• Design, develop, and optimize data pipelines that support ingestion, transformation, and delivery of large-scale datasets.<br>• Build and maintain ETL workflows to ensure accurate, timely, and dependable movement of data across platforms.<br>• Use Python and Apache Spark to process complex data efficiently and improve overall pipeline performance.<br>• Work with Apache Hadoop technologies to manage distributed data storage and computation for high-volume workloads.<br>• Implement streaming and messaging solutions with Apache Kafka to support near-real-time data integration needs.<br>• Partner with cross-functional teams to understand data requirements and translate business needs into technical solutions.<br>• Monitor data processes, troubleshoot issues, and resolve bottlenecks to maintain system reliability and data integrity.<br>• Contribute to enhancements involving data platform changes or internal process updates as part of ongoing engineering initiatives.
We are looking for a Software Engineering Manager to lead the planning, delivery, and ongoing support of business-critical applications for a legal organization in Chicago, Illinois. This role combines technical leadership with hands-on involvement, guiding application strategy, improving system quality, and partnering with stakeholders to identify practical technology solutions. The ideal candidate brings strong experience in software development, vendor collaboration, and application lifecycle management, along with the ability to translate operational needs into scalable systems.<br><br>Responsibilities:<br>• Lead the evaluation of business needs and technical requirements to determine the best approach for new or enhanced applications.<br>• Oversee the design, development, testing, deployment, and support of web, intranet, and enterprise applications across all stages of the software lifecycle.<br>• Partner with attorneys, managers, directors, and other stakeholders to recommend technology solutions that improve workflows and align with organizational goals.<br>• Coordinate work delivered by internal teams, external vendors, and software providers to ensure projects meet quality, timing, and performance expectations.<br>• Direct application implementation efforts, including quality assurance processes, issue resolution, and production readiness activities.<br>• Establish and maintain sound data structures and integration approaches that support efficient information flow across enterprise systems.<br>• Provide senior-level technical guidance to the development team, helping resolve complex design, coding, and integration challenges.<br>• Maintain oversight of the technical direction and long-term roadmap for software products supporting practice and administrative functions.<br>• Contribute directly to development and support work when needed to keep initiatives moving and address priority issues.
<p>We are looking for an experienced Business Systems Analyst Manager to support enterprise-wide initiatives for a Long-term Contract position based in Chicago, IL. This role will guide business analysis efforts across complex programs, helping translate organizational needs into clear, practical solutions that support project success. The position also provides leadership to analysts, strengthens requirement practices, and promotes effective collaboration among business partners, delivery teams, and technology stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Direct and mentor a team of business systems analysts, balancing assignments according to project scope, urgency, and individual strengths.</p><p>• Shape and maintain consistent analysis methods that improve the quality of requirements, process documentation, and end-to-end traceability.</p><p>• Oversee the full requirements lifecycle, from initial intake through delivery, to ensure business needs are accurately defined and aligned with expected outcomes.</p><p>• Work closely with portfolio leadership to support intake reviews, prioritization decisions, business case preparation, and impact analysis for upcoming initiatives.</p><p>• Partner with quality assurance teams to connect requirements with testing coverage, validation activities, and defect reduction efforts.</p><p>• Track team capacity, delivery quality, and emerging risks, then communicate progress and key concerns to leadership.</p><p>• Coach analysts in facilitation, stakeholder engagement, and documentation best practices to build a strong and capable team.</p><p>• Contribute to enterprise programs, technology implementations, and regulated or high-visibility initiatives that require careful analysis and control.</p><p>• Support documentation of business processes, functional needs, non-functional expectations, business rules, use cases, and data-related requirements.</p>