Sr. Data Engineer
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. Position Summary CVS Shared Services Resources LLC, a CVS Health company, is hiring for the following role in Irving, TX: Sr. Data Engineer to Design, build, and maintain large-scale data infrastructure and data processing systems.
Requirements
- Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field
- Two (2) years of experience in the job offered or related occupation
- Two (2) years of experience in Programming in Java, Python, or R
- Two (2) years of experience in Agile methodologies or SAFe Software Development Principles
- Two (2) years of experience in Cloud technologies: Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
- Two (2) years of experience in SAS or SQL programming languages
- Two (2) years of experience in Spark, PySpark, or Scala
- Two (2) years of experience in Machine learning, statistical analysis, or predictive modeling
- Two (2) years of experience in Software development lifecycle
- Two (2) years of experience in Software testing, quality assurance, and troubleshooting
- Two (2) years of experience in Writing Extract/Transform/Load (ETL) processes
- Two (2) years of experience in Data analytics, data engineering, and data visualization
Responsibilities
- Ensure seamless integration of data from different sources, such as databases, application programming interfaces (APIs), or streaming platforms
- Optimize data processing and query performance by fine-tuning data pipelines, database configurations, and data partitioning strategies
- Establish data quality checks and validations to identify and resolve data issues, ensuring high-quality and reliable data for downstream applications and analytics
- Implement security measures to protect sensitive data throughout the data lifecycle by working closely with security teams to ensure data encryption, access controls, and compliance with data protection regulations
- Collaborate with cross-functional teams, including data scientists, analysts, software engineers, and business stakeholders
- Design and develop data infrastructure, including data warehouses, data lakes, and data pipelines
- Establish auditing and monitoring mechanisms to track data access and maintain data governance standards
- Establish monitoring and alerting mechanisms to identify bottlenecks, latency, or failures, and troubleshoot data-related problems, investigate root causes, and implement remediation measures
- Explore new frameworks, platforms, or cloud services that can enhance data processing capabilities
Benefits
- medical, dental, and vision benefits
- 401(k) retirement savings plan
- Employee Stock Purchase Plan
- fully-paid term life insurance plan
- short-term and 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
