Remote Senior Data Engineer — AI‑Driven Data Platforms

UnitedHealth Group; Brentwood (TN); A distancia; USD 92.000 - 164.000; Jornada completa

Descripción de la vacante

UnitedHealth Group seeks an experienced Data Engineer to design, build, and operate scalable data platforms leveraging Azure Data Factory, Delta Lake, and cloud-native pipelines. The role focuses on lakehouse architecture, data quality, and AI-ready workflows across batch and streaming workloads.

You will mentor engineers, drive DevOps/DataOps practices, and collaborate with business, analytics, and product leaders in an agile environment to deliver measurable business value and AI-enabled

Formación

• 7+ years of Data Engineering experience building enterprise-scale ETL/ELT solutions.
• 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 in AI-assisted software development, including AIDLC and Agentic AI methodologies.

Responsabilidades

• 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

Conocimientos

Data engineering

Azure cloud

Unix shell scripting

PL/SQL development

Production support

AI-assisted software development

DevOps and code quality

Educación

Bachelor's degree in CS or IT or Software Engineering related field

Herramientas

Azure Data Factory

Delta Lake

Databricks

Snowflake

Talend

DataStage

Descripción del empleo

UnitedHealth Group seeks an experienced Data Engineer to design, build, and operate scalable data platforms leveraging Azure Data Factory, Delta Lake, and cloud-native pipelines. The role focuses on lakehouse architecture, data quality, and AI-ready workflows across batch and streaming workloads.

You will mentor engineers, drive DevOps/DataOps practices, and collaborate with business, analytics, and product leaders in an agile environment to deliver measurable business value and AI-enabled