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# Senior Software Engineer - Data Engineering

- **Company:** Unitedhealth Group Inc
- **Location:** Brentwood, TN, United States (Remote available)
- **Experience:** Expert
- **Salary:** $91,700.0 - $163,700.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Computing Platforms, Automation of Tests, Microsoft Azure, Unix, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Systems, IBM InfoSphere DataStage, DevOps, Python (Programming Language), Meta-Data Management, Node.Js, Performance Tuning, DataOps, Shell Script, Software Engineering, PL-SQL, Talend, Unstructured Data, Data Processing, Azure Data Factory, Snowflake, Prompt Engineering, Generative AI, Data Lakes, Data Management, Data Pipelines, Databricks, Programming Languages
- **Published:** August 9, 2026
- **Apply:** https://dejobs.org/x/x/05DF743EA4E14D34980EF77EE3107034/job/

## About the Role

* Bachelor's degree in CS or IT or Software Engineering related field
 * 7+ years of Data Engineering experience building enterprise-scale ETL/ELT solutions (e.g., ADF, DataStage, Talend, or equivalent)
 * 4+ years of experience with Azure public cloud including Databricks and Snowflake
 * 3+ years of hands-on experience with Unix/Linux shell scripting for data processing and automation
 * 3+ years of experience with Oracle PL/SQL development for data transformation, performance tuning, and production workloads
 * 3+ years of production support experience, including on-call rotations, incident resolution, and root cause analysis
 * 2+ years of experience with high-level programming languages, such as Python, Java, or Node.js, with Python preferred, * Excellent written and verbal communication skills, with the ability to explain data and AI concepts clearly
 * Prior technical or people leadership experience, including ownership of complex systems
 * Demonstrated experience mentoring and developing junior Engineers

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

## Description

* Design, build, and operate scalable data engineering platforms using modern ETL/ELT frameworks, including Azure Data Factory, Delta Lake, and cloud-native pipelines
 * Architect modular, reusable data systems that support batch and streaming workloads, advanced analytics, and AI/ML use cases
 * Influence overall data and AI platform architecture, including lakehouse design, metadata management, and data quality frameworks
 * Develop and optimize PL/SQL, Python, and Unix-based data processing solutions for high-volume, low-latency data pipelines
 * Enable Generative AI use cases by designing structured and unstructured data pipelines to support NLP, prompt engineering, vectorization, and inference workflows
 * Drive code reusability and standardized data patterns across teams through shared frameworks, libraries, and design standards
 * Ensure mature DevOps and DataOps practices, including CI/CD, automated testing, monitoring, incident response, and cost optimization
 * Deeply analyze ambiguous business and data problems, translating them into robust data engineering and AI solutions that deliver measurable business value
 * Lead adoption of best practices in data modeling, pipeline design, security, and governance, especially in regulated environments
 * Continuously assessing and modernizing existing data platforms, improving performance, reliability, scalability, and AI readiness
 * Partner with business, analytics, data science, and product leaders to manage delivery in an agile framework, rapidly delivering insights and AI-enabled capabilities
 * Mentor and coach engineers in data engineering, cloud, and Generative AI technologies, raising overall team capability
 * Attract and grow talent through strong technical leadership, effective interviewing, community engagement, and training junior interviewers
 * Communicate complex data and AI concepts clearly to both technical and non-technical stakeholders, including leadership presentations and solution demos

Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.


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