Lead Data Engineer (RapidScale)

Cox Communications-posted about 1 year ago

$106,700 - $177,900/Yr

Full-time • Manager

Remote • Raleigh, NC

Broadcasting and Content Providers

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The Lead Data Engineer at RapidScale is responsible for modernizing data infrastructure by migrating customer systems from legacy on-premise solutions to cloud-based architectures using GCP, AWS, and Azure. This role involves designing, building, and maintaining scalable data pipelines and storage solutions, collaborating with cross-functional teams, and implementing best practices in data engineering.

Implement data lake, data warehousing, ETL, streaming, and data analytics solutions across GCP, AWS, and Azure platforms.
Migrate data and processes from legacy on-premise systems (e.g., SQL Server, relational databases) to cloud-based solutions.
Design and develop efficient, scalable data pipelines to ingest, process, and transform data from various sources.
Optimize data storage and retrieval systems for performance and cost-efficiency.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver appropriate solutions.
Implement data quality checks and monitoring systems to ensure data integrity and reliability.
Contribute to the development of best practices and standards for data engineering within the organization.
Participate in code reviews and knowledge sharing sessions with the team.
Implement and maintain CI/CD pipelines for data engineering projects.
Use Infrastructure as Code (IaC) practices to manage and version cloud resources.

Bachelor's degree in a related discipline and 6 years' experience in a related field OR a Master's degree and 4 years' experience OR a Ph.D. and 1 year of experience OR 18 years' experience in a related field.
3 years of hands-on experience with cloud data solutions (GCP, AWS, Azure) designing and implementing solutions in at least one of these platforms.
Experience in two programming languages (e.g., Node.js, Go, Python or others) with a working knowledge of additional languages.
Experience with transforming legacy code (e.g., Java, .Net) into cloud-native microservices.
Experience building and maintaining CI/CD pipelines and utilizing cloud automation tools for efficient software deployment.
Experience in Python or SQL programming languages.
Experience with Terraform for Infrastructure as Code (IaC).

Experience with machine learning and AI services (e.g. Google Cloud AI Platform, Amazon SageMaker, Azure Machine Learning).
Knowledge of data modeling, data warehousing concepts, and dimensional modeling.
Professional certifications from GCP, AWS, and/or Azure.
Knowledge of containerization technologies (e.g., Docker, Kubernetes).

Flexible vacation policy allowing employees to take as much vacation with pay as they deem consistent with their duties.
Seven paid holidays throughout the calendar year.
Up to 160 hours of paid wellness annually for their own wellness or that of family members.
Additional paid time off for bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, parental leave, and COVID-19 vaccination leave.
Health care insurance (medical, dental, vision).
Retirement planning (401(k)).
Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO).

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