Full Time

Senior Data Engineer – CVS Remote Jobs

Posted 1 year ago
Arizona
$50 - $90 per hour

Job Description

Job Type: Senior Data Engineer from home
Location: Arizona work from home
Company: CVS Health

At CVS Health, everything begins with our ambition to reinvent health care in America by putting people at the heart of everything we do. Our strategy is centered on taking risky actions to offer personalized, linked, and more digital solutions.

The Mental Wellbeing (MWB) team is focused on creating a contemporary, connected data environment that accelerates the use of data, analytics, and advanced visualizations in order to carry out our vision and strategic imperatives. To join our team, we’re seeking for an enthusiastic, motivated, and creative data engineer. We are on a mission to improve technology and behavioral health, and you may play a crucial part in carrying out our plans and realizing our vision thanks to your knowledge, expertise, and creative ideas.

Responsibilities:

  • Assembles, gathers, standardizes, and integrates data in order to create scalable, repeatable, secure data structures and pipelines that enable more accurate, consistent, and comprehensive data for insights and reporting.
  • Builds ETL/ELT processes that are effective, high-quality, integrated, and increasingly real-time employing tools, programming languages, and services (SSIS etc).
  • Delivers new data products and data capabilities to democratize data across the company and within the Health Care Business unit, to accelerate investments in data, and to increase data investment returns.
  • Creates data models, data marts, and extracts to assist internal and external clients, as well as third-party administrators
  • Analyzes data, comprehends intricate systems, and handles difficult data sourcing and integration issues.
  • Encourages technical excellence by streamlining, improving, and automating operations
  • Utilizes and applies agile methodologies to innovate by maximizing effectiveness, increasing production, and streamlining operations.

Pay Scale

The usual pay scale for this position is as follows:

  • At least 90,000
  • The most: 180,000

Please remember that this range represents the salary range for every position in the job grade that this position belongs to. The location is just one of several variables that will be considered when determining the actual compensation offer.

Requirements:

Required credentials

  • 3+ years of engineering experience in platforms for data and analytics with a solid SQL foundation
  • Three or more years of practical expertise creating ETL data pipelines (SSIS).
  • At least one programming language or framework, such as Python, R, or PySpark, proficiency.
  • Knowledge of GCP Cloud services including DataProc, Composer, and Big Query.

Recommended Requirements

  • Understanding of HDFS commands, the Hadoop architecture, and expertise creating and optimizing searches against data in an HDFS environment.
  • Knowledge of the Azure cloud.
  • Agile methodology practice experience.
  • Healthcare industry knowledge.
  • Ph.D. or master’s degree recommended

Education

A bachelor’s degree in computer science, engineering, machine learning, or a related field, or comparable job experience.