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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.
Job Responsibility:
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
Requirements:
7+ years of programming experience in Python and experience with libraries such as PySpark
5+ years' experience with deploying complex streaming pipelines
5+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
5+ year(s) of experience independently managing deliverables
3+ years of customer interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical audiences
Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)
Nice to have:
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
What we offer:
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
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