CVS HealthRemote
Sr. Data Engineer
United States of America
Full Time
5 hours ago
$131,000 - $167,000 USD
H1B Sponsor Likely
Key skills
Data EngineeringETL (Extract/Transform/Load) processesHadoop architectureHDFS commandsPythonJavaRAgile methodologiesSAFe Software Development PrinciplesAzureAmazon Web Services (AWS)Google Cloud Platform (GCP)SQLSASSparkPySparkScalaDatabricksCloud cluster managementData ScienceData AnalyticsData ArchitectureDistributed Computing EnginesMachine Learning Infrastructure DesignHealthcare Data ManagementData StandardsData InteroperabilityData PrivacyMachine LearningETLAnalyticsHadoopAWSAmazon Web ServicesGCPGoogle CloudAgile
About this role
CVS Health is a company focused on building a connected and compassionate health experience. They are seeking a Sr. Data Engineer to develop, build, and manage large-scale data structures and pipelines while collaborating with the Data Science team to enhance data analytics capabilities.
Responsibilities:
- Develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs
- Write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities
- Collaborate with Data Science team to transform data and integrate algorithms and models into automated processes
- Test and maintain systems and troubleshoot malfunctions
- Leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines
- Utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems
- Build data marts and data models to support Data Science and other internal customers
- Integrate data from a variety of sources and ensure adherence to data quality and accessibility standards
- Analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems
- Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case
Requirements:
- Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field
- one (1) year of experience in the job offered or related occupation
- one (1) year of experience in Software development best practices
- one (1) year of experience in Data analytics on large data sets in healthcare, business, or retail sector
- one (1) year of experience in Java, Python, or R
- one (1) year of experience in Agile methodologies or SAFe Software Development Principles
- one (1) year of experience in Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
- one (1) year of experience in SQL or SAS
- one (1) year of experience in Spark, PySpark, or Scala
- one (1) year of experience in Databricks
- one (1) year of experience in Extract/Transform/Load (ETL) processes
- one (1) year of experience in Cloud components including cluster management
- one (1) year of experience in Contributing to large-scale applications development, data science, or data analytics projects
- one (1) year of experience in Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design
- one (1) year of experience in Healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy