UCLA Health Hiring for Senior Data Engineer Full Time

As a Senior Data Engineer on the Data Architecture team, you will play a key role in technology initiatives to advance health informatics and analytics in the health sciences by advancing the usability, performance, and overall architecture of the Data Infrastructure. You will develop fastest, reliable and large-scale data processing pipelines to ingest data from multiple data sources into Enterprise Data warehouse and Data Lake. You will also works closely with Data scientists to prepare the analytical datasets for Predictive Analytics and Machine Learning.

Involves technical acumen for planning, designing, developing, implementing, and administering data-based systems that acquire, prepare, store, and provide access to data and metadata. Maintains and optimizes systems and migrates data and systems as needed. Ensures integrity and completeness of data and workflow, manages and / or develops data practices, databases, and information systems as well as guidelines, dictionaries, registries and / or services. May include interpretation of scientific research data artifacts as well as mediation across science and technology domains and long-term data care. As information architect and data steward, designs systems, data products and / or data production processes while focusing on data curation, data exchange, data security, data integrity and information environments. (Re)evaluates frameworks, strategies, standards, and standards-making activities. May involve work with a project-level data repository, a center, or an archive.

You will be part of the team building UCLA Health’s Big Data Platform and 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.

• Minimum 7 years of software development experience.
• Development experience on the data processing side of software development.
• Strong industry experience in programming languages such as Python, C#, or Java, with the ability to quickly pick up new languages and technologies; understanding cloud and distributed systems principles and experience with large-scale, big data methods.
• Working knowledge of Linux/Unix operating systems.
• Experience with Relational and MPP databases like SQL Server or Oracle is required.
• Experience designing and delivering solutions utilizing Hadoop-Map reduce, Spark, and Hive is preferred.
• Understanding of NoSQL databases like HBase and Cassandra is preferred.
• Strong background in Data warehousing and ETL principles, architecture, and its implementation in large environments.
• Good working knowledge of leading cloud platforms like Azure, AWS, or GCP; Microsoft Azure experience is preferred.
• Work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to Leadership and business audiences;
• Bachelor’s degree in Computer Science, Computer Engineering, or related field from an accredited college or university; Master’s Degree preferred.

UCLA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.