Senior Data Engineer

UCLA Health
UCLA Health

Job Overview

Senior Data Engineer reports to the Manager of Data Architecture, within the Data
Architecture and Engineering team. You will be responsible for architecting,
designing, developing and operating high Performance Big Data pipelines focused
on genomics and precision health. This role will be at the intersection of computer
sciences and biology.The
role requires constant learning to remain up to date on the latest trends in
the Big Data and Genomics world. You will contribute to the Data Architecture teams efforts to develop
cloud-based data infrastructure for data ingestion pipelines and analytics
platforms to facilitate research activities and precision health initiatives and will help evolve our data
infrastructure design to a next generation system that leverages Cloud and Big
Data technologies.You will work directly with a wide variety of stakeholders, including clinicians,
researchers, and students that develop, support and promote the usage of UCLA
Health Data assets (Data Lake, Data Warehouse and Data Marts).Qualifications7 or more years of software
development experience with multiple programming languages, technologies,
and frameworksDemonstrated experience on the data
processing side of the software development cycle and deep understanding of choosing the right
Data Structures and right Algorithms for data processingHands on experience running bioinformatics
pipelines on genomics and clinical dataGood understanding of Genomics tools and technologies like PLINK, VCF, FASTA, GATK and GenomicsDB; exposure to different genomics datasets like
WGS, WES, and RNASeq highly desiredFamiliarity with Software Development Life
Cycle, software unit testing and version control (preferably Git)Hands-on experience designing and delivering
solutions involving computationally intensive steps using technologies
such as Hadoop-Map reduce, Spark or HPCExpertise and working knowledge of
Linux/Unix operating systems, command line tools and clustersStrong industry experience in programming
languages such as Python, C# or Java, with the ability to pick up new
languages and technologies quickly; understanding of cloud and distributed
systems principles and experience with large-scale, big data methodsExperience designing, developing and
consuming performant REST APIs for data abstractionsExperience working with Data Scientists,
Researchers and DevOps engineers to build, deploy and operationalize code
at scaleGood understanding of Object oriented and
Functional programming paradigmsBachelors
degree in Computer Science, Computer Engineering, Life sciences or related
field from an accredited college or university; Masters Degree in
Computational Biology, BioInformatics preferredUCLA 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.Senior Data Engineer 1

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