Sr. Data Engineer

Profile

Job Information
Humana
Sr. Data Engineer
in
Campbell
California
Description
We are looking for a Senior Software Data Engineer that will work on building data pipelines for some of the most exciting data science projects at Humana.
Responsibilities
Our Data Science Engineering team is looking for a Senior Software Data Engineer that will work on building data pipelines for some of the most exciting data science projects at Humana. Our team works alongside the Data Science group and aids in sourcing, transforming, and understanding the data that drives training and deployment of machine learning models, as well as enterprise wide analytics and visualization initiatives. The platforms you'll deliver solutions on are built in on the best in class Azure Data Services, such as Azure Databricks, Azure Data Factory and Azure Synapse Analytics.
Responsibilities
Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities.
Building Azure Data Factory Pipelines.
Developing PySpark applications to be deployed in Azure Databricks.
Working alongside data scientists to build performant and reliable data structures and pipelines to enable machine learning model training and scoring.
Monitoring performance and advising any necessary infrastructure changes.
Required Qualifications
Bachelor's Degree in Computer Science or related field
5 or more years in a software or data engineering role
Strong background in developing data-centric python software applications, preferably utilizing PySpark
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
We will require full COVID vaccination (**** for this job as we are a healthcare company committed to putting health and safety first for our members, patients, associates and the communities we serve.
If progressed to offer, you will be required to provide proof of full vaccination or documentation for a medical or religious exemption consideration where allowed by law.
Preferred Qualifications
Master's Degree
Scheduled Weekly Hours
40

Company info

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