Senior Engineer - Claims Solutions and Public Insights - Remote

** Requisition number:
** 2363403

** Job category:
** Technology

At United Healthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start  
** Caring. Connecting. Growing together*
* The Senior Engineer partners with technical and business stakeholders to deliver scalable, supportable data pipelines and data products that meet enterprise needs. The position provides technical leadership for platform modernization, drives adoption of reusable engineering patterns and standards, and helps shift delivery from fragmented ownership to a more centralized and sustainable model. It is expected to influence architectural direction, reduce operational complexity, and improve the speed, quality, and reliability of data delivery across teams.

Positions in this function design, build, and operationalize data engineering solutions that enable enterprise analytics, reporting, and data product delivery. The role is responsible for modernizing legacy ETL pipelines, improving data quality and reliability, and establishing secure, scalable patterns for data movement and transformation. Success in this position requires solid architectural judgment, disciplined engineering practices, and the ability to advance cloud-based and automation-driven solutions that improve consistency, resilience, and delivery efficiency across the organization.

** Job Scope and Guidelines:*
* + Operates independently in a complex, Agile, matrixed environment with minimal oversight

+ Leads design and implementation of reusable data pipeline frameworks and engineering patterns

+ Establishes standards across ingestion, transformation, orchestration, and operational support

+ Ensures solutions are scalable, secure, reliable, and aligned with governance requirements

+ Translates business needs into practical engineering solutions with clear operational value

+ Provides leadership during production incidents, troubleshooting, and root cause resolution

+ Drives continuous improvement through automation, standardization, and simplification

You'll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

*
* Primary Responsibilities:

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* + Data Engineering and Platform Modernization

+ Lead modernization of legacy ETL solutions to cloud-based architectures using platforms such as ADF and Snowflake

+ Design and scale reusable ingestion, transformation, and orchestration frameworks that improve maintainability and delivery consistency

+ Deliver high-quality data pipelines and products that align with business priorities and enable trusted analytics and reporting

+ Ensure solutions are well documented, supportable, and consumable by downstream users and engineering partners

+ Establish consistent delivery patterns that improve usability, reduce rework, and accelerate time to value

+ Engineering Standards and Technical Leadership

+ Promote best practices in data engineering, ETL development, and data modeling across the delivery lifecycle

+ Influence architectural decisions and drive adoption of engineering standards across teams and initiatives

+ Act as a technical multiplier by coaching others, improving reusable practices, and raising overall engineering maturity

+ Build resilient data pipelines with effective monitoring, alerting, and recoverability

+ Support production stability through incident response, root cause analysis, and durable corrective actions

+ Reduce operational burden by automating repetitive tasks and improving platform supportability

+ Security, Governance, and Compliance

+ Align to enterprise security and governance standards

+ Apply role-based access and data protection

+ Support compliant handling of sensitive data

+ AI-Enabled Engineering

+ Apply AI-assisted tooling and automation where it improves engineering productivity, code quality, or operational efficiency

+ Identify practical opportunities to accelerate development, testing, analysis, and support workflows through responsible AI usage

** Functional Competencies*
* + Solid command of data engineering principles, architecture patterns, and platform tradeoff decisions

+ Ability to navigate ambiguity and make sound technical decisions that balance speed, quality, and risk

+ Demonstrates sound judgment across design, operations, governance, and support considerations

+ Builds solid working partnerships across engineering, analytics, and business stakeholders

+ Influences outcomes through technical credibility, collaboration, and clear communication

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear…