Senior Manager, Software Engineering - Remote or Hybrid in MN and DC
Role details
Job location
Tech stack
Job description
- Design and develop Azure cloud-native enterprise data solutions with emphasis on data integration, transformation, and governance
- Build solution designs and technical designs for data pipelines based on business and technical requirements
- Develop and standardize reusable plug-and-play components that can be orchestrated into:
- data ingestion patterns (batch/streaming)
- data flows across multiple zones (raw/curated/consumption as applicable)
- data quality frameworks and validation rules
- Implement and maintain pipelines leveraging Databricks + ADLS, ensuring reliability, scalability, and maintainability
- Identify opportunities to enhance/streamline existing codebase for:
- Automation
- performance improvements
- scalability and reliability
- operational efficiency and reduced run-cost
- Support backlog execution by helping prioritize pipeline development, estimate effort, and create implementation roadmaps
- Lead a team of data engineers by providing technical direction, code reviews, and design guidance
- Provide QA, UAT, and implementation support, including deployment readiness, operational handoffs, and production troubleshooting
- Ensure adherence to engineering standards (documentation, logging/monitoring expectations, and CI/CD practices where applicable)
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
Do you have experience in Spark?, * Undergraduate degree in Computer Science or related field
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5+ years of hands-on experience in Data Engineering / Data Warehousing development and operations
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5+ years of experience working in Agile delivery models and collaborating with architects, analysts, and upstream/downstream application teams
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Hands on experience designing and building enterprise-grade ETL/ELT pipelines on modern data platforms
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Hands on experience with:
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Spark/Databricks development
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SQL-based transformations and performance tuning
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Streaming concepts and implementation patterns, * Healthcare domain experience (claims, clinical, eligibility, provider, member, HIPAA-aware handling
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Data Streaming (e.g., Spark Structured Streaming and streaming design patterns)
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Python / PySpark
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Azure (general platform knowledge)
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MongoDB
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Benefits & conditions
(part of UnitedHealth Group) 3.33.3 out of 5 stars Irvine, CA Hybrid work $112,700 - $193,200 a year - Full-time, 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 $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.