Sr. Data Engineer

CVS Health • Irving, TX

4d • Hybrid

About The Position

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. Caremark LLC., a CVS Health company, is hiring for the following role in Irving, TX: Sr. Data Engineer to analyze data engineering problems and develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications.

Requirements

• Bachelor’s degree (or foreign equivalent) in Computer Science, Business Analytics, Computer Information Systems, Engineering, or a related field and five (5) years of experience in the job offered or a related occupation.
• Five (5) years of experience with CI/CD, Jenkins, GIT, or DevOps.
• Five (5) years of experience with Java, Python, or R.
• Five (5) years of experience with Spark, PySpark, and Databricks.
• Five (5) years of experience with Spark SQL.
• Five (5) years of experience with Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
• Five (5) years of experience with Airflow, Kafka, Hbase, Pig, MySQL, or NoSQL.
• Five (5) years of experience with Putty.
• Five (5) years of experience with Pycharm.
• Five (5) years of experience Creating design document by modularizing data scientist program into modules.
• Five (5) years of experience Developing spark program based on modular design.

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.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• 401(k) retirement savings plan
• Employee Stock Purchase Plan
• Fully-paid term life insurance plan
• Short-term disability benefits
• Long-term disability benefits
• Numerous well-being programs
• Education assistance
• Free development courses
• CVS store discount
• Discount programs with participating partners
• Paid Time Off (PTO)
• Vacation pay
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior