
Posted today
Software Engineer
AI Summary
Designs, builds and ships features for a healthcare analytics SaaS platform, owning work from requirements through deployment with product, design and DevOps partners. Works on .NET backend, data and cloud services.
About this role
At Quest Analytics®, we build technology that helps health plans navigate some of the most complex challenges in healthcare. We’re searching for a Software Engineer to help us build and scale our platform.
You’ll own the features you build, from first requirements conversation through deployment, working alongside product managers, designers, architects, and DevOps engineers. Your input on design and architecture will carry real weight, and the decisions you help make will shape our current offerings, and new product lines as we grow.
Our engineering teams value high-quality code, open collaboration, and creative problem solving. We review each other’s work with constructive feedback, communicate early about blockers and risks, and take ownership of our results. We also embrace new technology, including AI-powered tools, to improve both the quality and the speed of what we deliver, and you’ll have a hand in shaping how our teams use them.
What you'll do
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Take part in the full development lifecycle, from requirements gathering and design through implementation, testing, and deployment.
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Partner with product managers, designers, architects, and DevOps engineers to turn requirements into working software.
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Own your project timelines and deliverables, flag blockers and risks early so your team can help.
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Contribute to the design and architecture of new and existing products and features.
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Write clean, efficient, maintainable code built for performance and scalability.
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Give constructive feedback in code reviews and hold your work to team coding standards.
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Use AI-powered tools in your daily work to improve the quality and speed of development and help shape how the team adopts them.
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Make day-to-day technical decisions within established patterns, and bring larger choices, like major frameworks or design patterns, to your manager.
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Handle confidential information with care, especially protected health information (PHI), and follow Quest Analytics HIPAA Privacy and Security Practices.
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Join training and mentoring programs, as a learner or as a guide.
What you'll need
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A bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical field, or equivalent work experience.
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Three to five years of backend development with Microsoft’s .NET Framework and C# at a commercial SaaS company, ideally working with large data sets.
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Proficiency in SQL Server and in designing, building, and consuming REST APIs.
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Snowflake, Databricks, or general data platform experience for large data processing.
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Experience building on Azure cloud services, including Azure Functions, Event Grid, and Service Bus, plus familiarity with Blob Storage or AWS Lambda, EventBridge, SNS, or SQS.
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Experience with React or a comparable modern JavaScript framework for front-end work.
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Familiarity with unit testing (XUnit preferred) and SOLID principles.
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Source control experience with Git.
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Strong written and verbal communication, and a collaborative, team-oriented approach to your work.
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Experience multiplying your output with AI development tools.
Skills
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All reports →- Role reportSoftware engineer jobs, Sep 2026: new listings down 9.7%New software engineer listings fell 9.7% to 1,506 this week, the first weekly drop in a month. Prioritize applications while 1,506 fresh roles remain open.
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