Lead data engineer

Profile

Description

Humana is a Fortune 60 market leader in integrated healthcare whose dream is to help people achieve lifelong well-being. As a company focused on the health and well-being of the people we serve, Humana starts from within, and is committed to providing progressive benefits that advance the employment experience and vitality of the associate community. Through offerings anchored in a whole-person view of human well-being, Humana embraces a focus on stimulating positive individual and population changes while nurturing a sense of security, enabling people to live life fully and be their most productive.

Our Digital Health & Analytics (DH&A) team is building a world class Data Science and Insights enterprise capability that leverages digital-first platforms, analytics, and agile development methodologies. Through the strategic interpretation of data, we provide our consumers - physicians, patients, and other members of the care team - with meaningful insights about the choices they make and help them lead their best lives. We're passionate about combining and analyzing diverse types of data to extract new, actionable discoveries about our members and their health-related behaviors. We are looking for driven, innovative people who are interested in using their clinical and analytical skills to help our consumers achieve lifelong well-being and to help Humana make lasting, positive changes in the healthcare industry.

As a Lead Software Engineer at Humana you will work with application architect to lead the design and implementation of the data management process and pipeline for clinical rule engine development on Azure cloud.

Responsibilities


Design and implement complex technical solutions for large data management
Lead the design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management.
Collaborate with cross-functional teams for solution design and implementation
Perform data analysis to support data quality
Create and maintain optimal data pipeline architectures
Assemble large, complex data sets that meet business requirements
Identify, design, and implement internal process improvements
Automate manual processes, optimize data delivery, and improve infrastructure for better scalability
Ensure that team builds processes that support effective data management, metadata management, and good data quality.


Required Qualifications


8 years of experience with data engineering with emphasis on data analytics and reporting
1 years of experience with large data management as a lead
3 years of experience with cloud architecture and services
Bachelor degree in computer science or related fields
Experience developing with scripting languages such as Python
Strong experience developing with Spark
Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata) with expert-level SQL abilities
Expert experience with no-sql database
Experience and knowledge with Java, C , Scala or other object oriented programing language
Experience with agile delivery methodologies
Experience working with source-code management tools such as GitHub and Jenkins, Azure DevOps
Ability to partner with business and technology team members, to understand business requirements and translate those into value-add technology solutions
Language proficiency in English with excellent written and verbal skills
Strong critical thinking and problem-solving capabilities


Preferred Qualifications


Extensive experience developing solutions using Spark
Extensive experience with cloud technologies
Prior experience with Kubernetes, Spark Streaming etc.
Experience with Azure DevOps


Additional Information

Scheduled Weekly Hours

40

Company info

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