Senior Data Engineer
Role details
Job location
Tech stack
Job description
- Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI
- Architect and optimize complex ETL processes and data pipelines using Databricks (Spark, SQL, Python) or other enterprise-scale integration tools to ensure high-performance processing of large-scale datasets
- Evaluate emerging trends in ETL frameworks and AI to inform solution design and drive strategic innovation within the analytics platform
- Use enterprise-approved AI tools to automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity
- Implement advanced data modeling techniques, such as star schemas and incremental loads, to ensure data integrity and scalability across all ETL layers
- Build and maintain executive-level dashboards and semantic models in Power BI, ensuring seamless data flow from backend ETL processes to end-user visualizations
- Partner with product and business leaders to translate complex business requirements into robust, automated data integration solutions
- Lead technical coordination within a global delivery model, ensuring consistency and quality of ETL standards across onshore and offshore teams
- 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.
Requirements
Do you have experience in SQL?, Do you have a Bachelor's degree?, * Bachelor's Degree or equivalent experience
- 6+ years of experience in analytics engineering, business intelligence, or data engineering roles delivering enterprise-scale analytics solutions
- 5+ years of Cloud experience (Azure, GCP, AWS, or OCI)
- 5+ years of experience in programming languages such as Python, Java, etc.
- 4+ years of hands-on experience using Databricks (Spark, SQL, Python, notebooks) or other major ETL platforms to build and optimize large-scale data pipelines
- 4+ years of experience in data modeling (star schemas, semantic modeling, incremental loads, large datasets) and advanced SQL
- 1+ years of experience delivering AI-driven analytics or data solutions
Preferred Qualifications:
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Healthcare industry experience, specifically in clinical or real-time analytics
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Experience with ETL orchestration tools (e.g., Airflow, Azure Data Factory) and managing data lineage in governed environments
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Experience developing AI-driven automations or integrating large language models (LLMs) into data products and ETL workflows
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Experience with Power BI, Tableau or other visualization tools, including advanced DAX, Power Query, and semantic modeling
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Demonstrated experience working in global delivery models with effective onshore-offshore collaboration
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Proven ability to solve complex technical problems with a focus on data processing efficiency and system scalability
All Telecommuters 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 $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.