Senior Software Engineer – Data & AI Platforms

Doran Jones Inc. • Dallas, TX

1d

About The Position

We are seeking a Senior Software Engineer to support the development of data- and AI-enabled platforms in a regulated healthcare environment.

This role focuses on building backend services, integrating with modern data platforms, and enabling AI- and LLM-driven capabilities that support analytics, automation, and decision-making.

The ideal candidate is hands-on, comfortable working across the backend, data, and UI layers, and experienced in building scalable, secure solutions on modern data platforms such as Databricks.

Requirements

• 5+ years of professional experience in full-stack software development
• Strong hands-on experience developing backend services using Python in production environments
• Experience working with data platforms, analytics systems, or large-scale data processing solutions
• Practical experience integrating or leveraging Large Language Models in applications or workflows
• Solid understanding of modern UI design principles and frontend development concepts
• Experience building and consuming RESTful APIs and working with asynchronous systems
• Familiarity with cloud-native architectures and security best practices
• Experience operating in regulated environments, with attention to data privacy and compliance
• Hands-on experience with Databricks, Delta Lake, or Spark-based platforms

Nice To Haves

• Experience supporting healthcare payer data domains (claims, enrollment, providers, quality reporting)
• Familiarity with modern JavaScript frameworks such as Vue.js, React, or similar
• Understanding of healthcare data regulations and standards (e.g., HIPAA)
• Experience working in cross-functional teams across data engineering, analytics, and product delivery

Responsibilities

• Design and develop backend services and APIs using Python to support data ingestion, transformation, analytics, and AI workflows
• Integrate applications with Databricks, Delta Lake, and cloud-native data services
• Support batch and streaming data pipelines, including orchestration, monitoring, and reliability
• Implement secure, scalable access patterns for curated healthcare data in alignment with payer data governance and compliance requirements
• Design and integrate solutions that leverage Large Language Models for data exploration, summarization, workflow automation, and decision support
• Partner with data science and platform teams to operationalize ML- and LLM-driven capabilities in production environments
• Contribute to modern web user interfaces that surface data, analytics, and AI-driven insights
• Apply modern UI design principles to ensure usability, accessibility, and clarity for technical and business users
• Integrate frontend components with backend APIs and services
• Collaborate with data architects, platform engineers, designers, and product owners to deliver end-to-end solutions
• Participate in design reviews, code reviews, and architectural discussions
• Contribute to agile delivery practices, including backlog refinement, sprint planning, and iterative delivery

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed