Lead Cloud Engineer

Lead Cloud Engineer

We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Lead Cloud Engineer to build, develop, and maintain cloud-native software web applications and systems in support of CVS business needs and end customers. Duties include: assist with cloud-native application development, web development, API integration and scaling them in real time to meet internal users and end-customer needs; participate in entire software lifecycle development, testing, CI/CD and production operations; 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; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; 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; 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.

Requirements: Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following: Software development lifecycle (SDLC); Programming in Java, Python, or R; Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); Hadoop, Hive, and HDFS; SAS or SQL; MySQL; Visualization tools, including PowerBI or Tableau; Spark, Airflow, Kafka, Hbase, PySpark, or Scala; Machine learning, statistical analysis, or predictive modeling; Relational database concepts; Big Data implementation; Data warehousing; Extract/Transform/Load (ETL) processes; End-to-end data science lifecycle/workflow; and Product management in a large, matrixed organization with many internal partners. Pay Range: $109512.00/year to $236900.00/year.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.