Senior Software Engineer (data engineering)
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.
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
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
Benefits
• comprehensive benefits package
• incentive and recognition programs
• equity stock purchase
• 401k contribution
Apply tot his job
Apply To this Job
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.
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
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
Benefits
• comprehensive benefits package
• incentive and recognition programs
• equity stock purchase
• 401k contribution
Apply tot his job
Apply To this Job