Blue Bell, PA:

Staff Data Engineer to Develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

Duties include:

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; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Telecommuting available. Multiple positions.

Salary Range:

$160,826.00 to $260,590.00 per year Bachelor's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and five (5) years of progressive, post-baccalaureate experience in the job offered or related occupation. Requires five (5) years of experience in each of the following: Analyzing large data sets from multiple data sources; Data analysis for retail and/or healthcare industries; Programming in Java, Python, or R; Agile methodologies or SAFe Software Development Principles;

Databases:

Oracle, Teradata, or DB2; Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); Hadoop and Hive; SAS or SQL programming languages; Developing backend services, performing code reviews, and collaborating with peers on software development solutions; Relational database concepts; Software development best practices; Managing large-scale data structures or ETL workflows; and Supporting large data, analytics, and technology modernization initiatives. Addendum to F.b.4.b.: Any related occupation, such as Data Warehousing Specialists, Computer Systems Analysts, Database Architects, Computer Programmers and/or Programmer Analysts.

Apply to http:

//jobs.cvshealth.

com OR by email:

istappintake@cvshealth.com. Must reference job title, location, and Req ID when applying.

Requisition ID:

R0942380

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