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3 results for Software Engineer in Michigan City, IN
- Chicago, IL
- remote
- Temporary / Contract
- 66.5 - 75 USD / Hourly
- 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.
- 2026-09-04T00:00:00Z
- Chicago, IL
- onsite
- Temporary to Hire
- 59.375 - 68.75 USD / Hourly
- 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.
- 2026-09-04T00:00:00Z
- Chicago, IL
- onsite
- Permanent / Full Time
- 150000 - 160000 USD / Yearly
- 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.
- 2026-09-08T00:00:00Z