Data Architect
3 weeks ago
We are seeking a highly skilled Data Engineer to join our Data Architecture team at UCLA Health. As a Data Engineer, you will play a key role in advancing health informatics and analytics by designing, developing, and implementing large-scale data processing pipelines, data models, and data warehouses.
You will work closely with our team to develop reliable and scalable data systems, ensuring data integrity and completeness. Your expertise in data warehousing, ETL principles, and machine learning systems will be essential in building our Data Platform and products.
This is a unique opportunity to be part of advancing analytics for one of the nation's leading healthcare organizations, where big data will be used as a platform to build solutions.
Responsibilities:
- Design, develop, and implement large-scale data processing pipelines and data models
- Develop and maintain data warehouses and data lakes
- Work with machine learning systems and feature stores
- Ensure data integrity and completeness
- Collaborate with the team to build our Data Platform and products
Requirements:
- Minimum 5 years of software development experience
- 2+ years of experience on the data or backend systems side of software development
- Strong industry experience in programming languages such as Python
- Experience with orchestration tools like Airflow
- Strong experience with relational databases like SQL Server or Oracle
- Strong background in data warehousing and ETL principles
- Experience working with machine learning systems like Databricks and feature stores
- Working knowledge of leading cloud platforms like Azure, AWS, and GCP
Preferred Qualifications:
- Master's degree in computer science or related field
- Experience with Microsoft Azure
What We Offer:
- Competitive salary range of $95,900 - $222,100 annually
- Flex-hybrid role with a minimum of one onsite visit per month
- Opportunity to work with a leading healthcare organization
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