Principal Data Engineer- Remote or Hybrid in MN or DC
Role details
Job location
Tech stack
Job description
- Partner closely with product owners, system analysts, and engineering teams to deliver data solutions aligned with an Agile roadmap
- Collaborate with data architects and platform engineers to translate functional and non-functional requirements into scalable, high-quality data architecture
- Serve as a technical leader and key point of contact for scrum teams, guiding and influencing solutions across teams and mentoring junior engineers
- Design, build, test, and operate data-intensive systems, including streaming and batch pipelines using technologies such as Databricks, Kafka, Snowflake, and cloud-native storage solutions
- Develop and maintain ETL/ELT pipelines, data transformations, and orchestration workflows using Python, SQL, and distributed processing frameworks
- Implement and continuously improve CI/CD, DevOps, and DataOps practices to enable reliable, automated deployments of data pipelines and analytics workloads
- Build and maintain configuration management, infrastructure automation, deployment strategies, and monitoring/observability tools for data platforms
- Apply software and data engineering best practices, including reliability engineering, fault-tolerant architecture, performance tuning, and automated testing
- Participate in incident management processes, root cause analysis, and remediation using tools such as ServiceNow
- Define and execute data quality, governance, security, and resilience strategies to ensure trusted and compliant data products
- Support data solutions throughout the entire SDLC, from design and development through production deployment and operational support
- Participate in design reviews, architecture discussions, code reviews, defect triage, and performance optimization efforts
- Adhere to established data modeling, coding, and platform standards, while continuously improving how data solutions are built and delivered
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.
Requirements
- Bachelor's degree in engineering or equivalent experience
- 5+ years of experience designing and implementing cloud-based data solutions (Azure, Google, or Amazon)
- 5+ years of experience with modern data and platform technologies, including (or equivalent): Azure Databricks, Apache Kafka (or equivalent streaming platforms), Snowflake, GitHub and GitHub Actions
- 2+ years of experience with hands-on Python and/or Scala for data engineering workloads
- Solid proficiency in SQL for data querying and transformation, along with a solid understanding of version control, CI/CD pipelines, and automated deployment practices for data platforms
- Proven ability to collaborate effectively within Agile, distributed, and onshore/offshore teams, * Relevant cloud certifications, particularly Microsoft Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert
- Experience within the healthcare industry
- Firsthand experience with specific AI techniques and frameworks, such as Large Language Models (LLMs), Retrieval Augmented Generation (RAG), or autonomous agents
- Working knowledge of RESTful APIs and data integration patterns
- Thorough understanding of data modeling techniques (conceptual, logical, and physical) and deep knowledge of data warehousing architectures and best practices
- Proven excellent analytical and problem-solving skills, with the ability to think creatively and deliver innovative data solutions in collaboration with delivery teams
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Benefits & conditions
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.