Staff Data Engineer

CVS Health

5d

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 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.

Requirements

• 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.

Nice To Haves

• 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

Responsibilities

• 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.

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