Senior Software Engineer - Data Engineering

Role Description

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

• 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 assess and modernize 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Requirements

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

Benefits

• Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc.
• Comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).
• The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.
• We comply with all minimum wage laws as applicable.

Application Deadline

• This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected.
• Job posting may come down early due to volume of applicants.