Sr Data Engineer

CVS Health

1d

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. Sr. Data Engineer Designs, builds, and maintains large-scale data infrastructure and data processing systems. Implements robust and scalable solutions to support data-driven applications, analytics, and business intelligence. Job Description Job Description A Brief Overview Designs, builds, and maintains large-scale data infrastructure and data processing systems. Implements robust and scalable solutions to support data-driven applications, analytics, and business intelligence.

Requirements

• 5-7 years work experience
• Adept at problem solving and decision making skills
• Adept at collaboration and teamwork
• Adept at growth mindset (agility and developing yourself and others) skills
• Adept at execution and delivery (planning, delivering, and supporting) skills
• Adept at business intelligence
• Bachelor's degree preferred/specialized training/relevant professional qualification.
• Computer Science or Equivalent

Responsibilities

• Ensures seamless integration of data from different sources, such as databases, application programming interfaces (APIs), or streaming platforms.
• Optimizes data processing and query performance by fine-tuning data pipelines, database configurations, and data partitioning strategies.
• Establishes data quality checks and validations to identify and resolve data issues, ensuring high-quality and reliable data for downstream applications and analytics.
• Implements 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.
• Collaborates with cross-functional teams, including data scientists, analysts, software engineers, and business stakeholders.
• Designs and develops data infrastructure, including data warehouses, data lakes, and data pipelines.
• Establishes auditing and monitoring mechanisms to track data access and maintain data governance standards.
• Establishes monitoring and alerting mechanisms to identify bottlenecks, latency, or failures, and troubleshoots data-related problems, investigates root causes, and implements remediation measures.
• Explores new frameworks, platforms, or cloud services that can enhance data processing capabilities.
• Leverages devesecops practices

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees