Job Details

Staff Data Engineer

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

POSITION SUMMARY

Cyber Defense within CVS Health is seeking a well experienced Staff Data Engineer to join and technically lead our growing team. Staff Data Engineer will be responsible for developing and deploying security specific data engineering solutions following CVS Health specific business and technology requirements. Additionally, this Staff Data Engineer will help to define, drive and deliver all aspects of the data engineering product development lifecycle, from solution architecting, programming, testing, implementation, delivery of products.

What We Expect of You:

• Drives the development and implementation of advanced data engineering pipelines and algorithms to solve complex data problems
• Collaborates with multiple departments, including data scientists, security engineers and Information Technology (IT) professionals, to understand business requirements, define data engineering projects, and prioritize initiatives based on strategic objectives
• Interfaces with stakeholders to define performance metrics and evaluation methodologies for data engineering products, contributing to rigorous testing, validation, and performance monitoring of products to ensure accuracy and reliability
• Advises on the optimization and improvement of data pipelines and infrastructure to enhance efficiency, scalability, and performance of data engineering solutions
• Consults on and presents technical findings, insights, and recommendations to both technical and non-technical stakeholders, contributing to the dissemination and application of data engineering insights
• Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development
• Stays up-to-date with the latest advancements in data engineering and related technologies, continuously exploring and evaluating new algorithms and methodologies to enhance data engineering capabilities

REQUIRED QUALIFICATIONS

• 7+ years of programming experience in Python and experience with libraries such as PySpark
• 7+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
• 7+ year(s) of experience independently managing deliverables
• 5+ years' experience with deploying complex streaming pipelines
• 3+ years of customer interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical audiences

PREFERRED QUALIFICATIONS

• Proficient in Databricks Delta Streaming for real-time data processing and analytics
• Experience with Apache Kafka for building real-time data pipelines and streaming applications
• Knowledge of Apache Flink for stream processing and complex event processing
• Familiarity with Microsoft Azure services, including Azure Data Lake, Azure Databricks, and Azure Stream Analytics
• Experience with Google Cloud Platform (GCP) services, such as Google BigQuery, Google Cloud Dataflow, and Google Pub/Sub
• Skills in designing and implementing ETL processes using Databricks and other tools
• Ability to integrate data from various sources using Kafka and Flink
• Proficient in programming languages such as Python, Scala, or Java for data processing and application development
• Master's degree in computer science

EDUCATION

Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)