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.
We are looking for a Senior Software Engineer to create modern software solutions that connect data, systems, and business workflows into effective digital products. This role is based in Chicago, Illinois, and offers the opportunity to work closely with engineers, product leaders, and client stakeholders to deliver dependable, user-centered platforms. The ideal candidate enjoys building new capabilities from the ground up, solving unfamiliar technical challenges, and improving systems through thoughtful engineering practices.<br><br>Responsibilities:<br>• Build and release full-stack software products, including backend services, APIs, user interfaces, dashboards, and data-driven features that support operational decision-making.<br>• Connect external and internal platforms by developing integrations, data flows, and synchronization processes across business and analytical systems.<br>• Create automated workflows that streamline coordination between users, software applications, and operational processes.<br>• Collaborate with product and engineering partners to define technical approaches, strengthen delivery methods, and improve long-term solution quality.<br>• Engage directly with users and client stakeholders to gather requirements, validate concepts, and refine functionality based on practical feedback.<br>• Monitor live applications, troubleshoot issues across the technology stack, and enhance system stability and performance in production environments.<br>• Produce technical documentation, architectural guidance, and transition materials that enable client teams to support and expand delivered solutions.<br>• Establish reusable development patterns, deployment methods, and engineering assets that improve efficiency across future engagements.
We are looking for a Sr. Software Engineer to contribute to the design and delivery of scalable backend and platform solutions supporting modern cloud-based applications. This Long-term Contract position offers the opportunity to work with cross-functional engineering teams in Chicago, Illinois while building services, APIs, and foundational infrastructure in a collaborative environment. The ideal candidate brings strong software development expertise, enjoys shaping solutions in newly established environments, and can help turn technical concepts into reliable implementations.<br><br>Responsibilities:<br>• Develop and maintain backend applications, platform components, and service integrations using technologies such as C#, .NET, Python, Node.js, and related tools.<br>• Design and implement secure, scalable APIs and distributed services aligned with cloud-native and microservices-based architecture principles.<br>• Build application and infrastructure solutions from the ground up, supporting greenfield initiatives through planning, development, deployment, and optimization.<br>• Automate provisioning and release processes by applying Infrastructure as Code practices to cloud environments and platform services.<br>• Collaborate with architects, engineering leads, and peer developers to translate technical strategies into well-structured, production-ready solutions.<br>• Support the setup and improvement of cloud infrastructure, backend systems, and platform capabilities to ensure performance, reliability, and maintainability.<br>• Contribute to technical discussions, code reviews, and engineering best practices that promote high-quality delivery across the development lifecycle.<br>• Explore and incorporate emerging tools and frameworks, including AI-enabled development technologies when relevant to project goals.
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 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 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.