Senior Software Engineer (data engineering)

UnitedHealth Group•Washington, DC

17h•Hybrid

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. If you reside in the states of Minnesota and District of Columbia, you will enjoy the flexibility of a hybrid-remote role as you take on some tough challenges. Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

Bachelor’s degree
8+ years of experience in data engineering, preferably in AI environment
5+ years of experience in Python, SQL, and data pipeline tools (e.g., Apache Airflow, Spark or Kafka)
5+ years of experience with cloud platforms (AWS, GCP or Azure) and data warehousing solutions

Nice To Haves

Master's degree
Familiarity with NLP concepts and conversational AI technologies

Responsibilities

Design and implement scalable ETL/ELT pipelines to ingest structured and unstructured data from various sources (e.g., APIs, logs, databases, user interactions)
Ensure data quality, consistency, and availability for bot training and real-time decision-making
Bot Data Integration:
Collaborate with bot developers to integrate data sources into conversational AI platforms (e.g., Amazon Lex, Dialogflow, Azure Bot Framework)
Enable bots to access contextual and personalized data during interactions
SRE/IT Support:
Monitor and maintain voice bot systems (e.g., Amazon Lex, Google Dialogflow, Azure Bot Service, Genesys,)
Troubleshoot issues related to bot performance, voice recognition, call routing, and backend integrations
Monitoring & Optimization:
Implement data logging and monitoring systems to track bot performance, user engagement, and data drift
Optimize data flows for latency, throughput, and cost efficiency
Collaboration & Governance:
Work closely with AI/ML, DevOps, and compliance teams to ensure secure and compliant data handling
Maintain documentation and data lineage for transparency and auditability
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making