> Markdown version of [/jobs/ext/2042965-software-engineer](https://www.wearedevelopers.com/jobs/ext/2042965-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Selby Jennings - **Location:** Downers Grove, IL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Testing (Software), Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Automation of Tests, Big Data, Cloud Computing, Software Quality, Information Systems, Databases, Continuous Delivery, Continuous Integration, Data Validation, Information Engineering, Data Files, Extract Transform Load (ETL), DevOps, Programming Tools, Distributed Systems, Python (Programming Language), PostgreSQL, Enterprise Messaging Systems, Microsoft SQL Server, Performance Tuning, Query Optimization, Standard Sql, Requirements Management, Software Deployment, Software Engineering, SQL Databases, Data Logging, Data Processing, Scripting, Spring Cloud, Snowflake, Software Application Programming, Fastapi, Containerization, Information Technology, Performance Monitor, Star Schema, Data Management, Video Streaming, Microservices - **Published:** August 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-downers-grove-il--ae3e55fd-e544-4502-8bcc-7c995bfc93ce ## About the Role * Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical discipline. * 3+ years of experience in software engineering, data engineering, or application development. * Strong proficiency in Python and experience developing applications, services, APIs, or data processing solutions. * Solid SQL expertise, including experience with PostgreSQL, SQL Server, and Snowflake, as well as data modeling, ETL development, query optimization, and large-scale data processing. * Experience utilizing AI-powered development tools for coding assistance, testing, documentation, and solution design. * Strong understanding of data engineering concepts, including pipeline design, validation, data quality, lineage, and error handling. * Experience building solutions within cloud-based environments. * Familiarity with containerization technologies and modern application deployment practices. * Understanding of distributed systems, messaging platforms, and asynchronous processing patterns. * Experience with CI/CD pipelines, automated testing, and DevOps methodologies. * Strong analytical, troubleshooting, and problem-solving skills. * Ability to thrive in a collaborative, fast-paced environment with multiple priorities., * Experience supporting investment, capital markets, asset management, trading, risk management, or financial analytics platforms. * Exposure to portfolio analytics, investment data, quantitative research workflows, or performance reporting solutions. * Experience with event-streaming technologies, distributed computing, or large-scale data processing. * Professional certifications related to investments, risk management, analytics, or financial services are considered a plus. What You'll Bring * Strong ownership mindset and commitment to delivering high-quality solutions. * Excellent communication and collaboration skills. * Ability to balance technical excellence with business priorities. * Passion for modern software engineering practices and continuous improvement. * Interest in leveraging emerging technologies, including AI-assisted development, to enhance engineering productivity and platform capabilities. Skills: Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Asset Management, Automation, Best Practices, Capital Markets, Clean Technologies, Cloud Applications, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Database Extract Transform and Load (ETL), Distributed Computing, Documentation, Emerging Technology, Error Handling, Financial Analysis, Financial Risk Management, Financial Services, Information Technology & Information Systems, Investment Analysis, Investment Capital, Investment Management, Messaging Technology, Microservices, Microsoft SQL Server, Multitasking, Operational Audit, Operational Improvement, Performance Analysis, Performance Tuning/Optimization, Portfolio Analysis, PostgreSQL, Process Improvement, Production Support, Programming Tools, Prototyping, Public Cloud, Python Programming/Scripting Language, Quantitative Research, Query Optimization, Requirements Management, Risk Analysis, Risk Management, SQL (Structured Query Language), Snowflake Schema, Software Development, Software Engineering, Software Testing, Streaming Technology, Systems Scalability, Team Player, Technical Support, Test Automation, Testing, Workflow Analysis ## Description A leading investment management organization is seeking a Senior Software Engineer to help build and enhance technology solutions supporting portfolio management, trading, analytics, and operational workflows across multiple asset classes. This individual will work closely with investment professionals, quantitative teams, and business stakeholders to deliver scalable applications, data platforms, and workflow automation tools that drive investment decision-making. The ideal candidate will have a strong background in software engineering, data engineering, cloud technologies, and distributed systems. This role offers the opportunity to contribute to modernization initiatives, improve platform scalability and reliability, and support critical investment technology capabilities in a fast-moving environment., * Leverage AI-assisted development tools to accelerate software delivery, testing, documentation, and prototyping while ensuring code quality and maintainability. * Design, develop, and support data platforms, services, and workflows that enable investment and analytics applications. * Build and maintain data ingestion, transformation, validation, and integration processes across a variety of internal and external data sources. * Develop Python applications, APIs, and microservices supporting analytical tools, portfolio management processes, and business workflows. * Create and optimize complex SQL solutions, including data models, ETL processes, and performance tuning for large-scale datasets. * Design and support event-driven and distributed architectures to improve scalability and system performance. * Develop cloud-native applications and services within modern public cloud environments. * Build and maintain CI/CD pipelines and deployment frameworks that promote stable and efficient software releases. * Implement monitoring, logging, data validation, and observability capabilities to improve operational resilience. * Partner with investment, analytics, and business teams to translate requirements into sustainable technology solutions. * Drive continuous improvement through engineering best practices, automation, testing, and performance optimization. * Participate in production support activities and contribute to platform stability initiatives. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [You’re a great coder? That alone won’t get you far: The soft skills secret in IT success](https://www.wearedevelopers.com/videos/1076-you-re-a-great-coder-that-alone-won-t-get-you-far-the-soft-skills-secret-in-it-success) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [7 Important Tips That Every Software Developer Should Know](https://www.wearedevelopers.com/magazine/101-7-important-tips-that-every-software-developer-should-know)