The Senior Data Engineer is a senior individual contributor responsible for designing, building, and scaling enterprise data platforms and pipelines. This role emphasizes cloud-based data architecture, data solutioning, and hands-on development, supporting large-scale data and analytics initiatives.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:- Lead the design and implementation of cloud-based data architectures and data solutions
- Build, optimize, and maintain scalable data pipelines on GCP or Azure
- Provide hands-on technical leadership in data platform and solution architecture
- Work across cloud and on Prem environments to support enterprise data needs
- Collaborate with engineering and analytics teams to ensure data reliability, performance, and scalability
- Guide junior engineers through technical mentorship and solution design reviews
- Ensure data quality, observability, lineage, and documentation (e.g., Great Expectations/DBT tests, Cloud Monitoring/Logging, Data Catalog)
- Implement security, IAM, and compliance controls; manage access, encryption, and PII handling
- Partner with Analytics/BI, Data Science, and Product teams to deliver trustworthy datasets and metrics
- Troubleshoot and resolve data pipeline incidents, drive root cause analysis and preventive improvements
- Contribute data platform roadmaps, standards, and best practices
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- Bachelor's degree in CS or IT related field
- 7+ years of experience in Data Engineering or AI/ML roles with experience designing and building data pipelines in enterprise environments
- 3+ years of hands-on experience developing and optimizing data models (databricks/snowflake or similar platform) and ELT/ETL workflows to support analytics and ML with a solid understanding of data warehousing concepts, dimensional modeling, and ELT patterns
- 3+ years of experience with SQL and Python development skills for data processing and pipeline development
- 2+ years of strong hands-on experience with cloud platforms (GCP preferred, AWS or Azure acceptable) along with experience with on-prem and cloud-based data architectures
- 2+ years of experience in Building CI/CD workflows for data pipelines and infrastructure-as-code using Terraform
Preferred Qualifications:- Experience supporting large-scale analytics or data platforms
- Familiarity with multi-cloud or hybrid architectures
- Experience working in enterprise-scale environments
- Experience in Implementation of streaming and micro-batch solutions for near-real-time use cases
- Experience with batch and streaming data processing at scale
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
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 $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
#RPO #GREEN
