Lead Data Engineer: Python, PySpark, AWS & Jenkins (Hybrid)

Yoh; McLean (VA); Híbrido; USD 87.000 - 124.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, Prescription, Dental & Vision

Health Savings Account (HSA)

Life & Disability Insurance

401K Retirement Savings Plan

Direct Deposit & weekly epayroll

Referral Bonus Programs

Certification and training

Descripción de la vacante

Yoh is seeking a Lead Data Engineer in McLean, VA to lead data engineering and ML initiatives. Strong hands-on experience with Python, PySpark, AWS, and Jenkins is required, along with the ability to guide technical development across engineering teams.

The role focuses on designing scalable data pipelines, cloud-based processing, and maintaining CI/CD pipelines, with emphasis on collaboration with data scientists and software engineers. Hybrid onsite work is preferred.

Formación

• Strong Python and PySpark experience.
• Hands-on AWS experience for cloud data processing.
• Experience building or supporting CI/CD pipelines (Jenkins).
• Solid understanding of big data and data engineering principles.
• Ability to lead technical initiatives in a collaborative environment.
• Excellent communication, analytical, and problem-solving skills.

Responsabilidades

• Design, develop, and maintain scalable data engineering and ML solutions.
• Build and optimize data pipelines using Python and PySpark.
• Leverage AWS services to support cloud-based data processing and application development.
• Develop, enhance, and maintain CI/CD pipelines using Jenkins.
• Troubleshoot performance, reliability, and data quality issues.
• Collaborate with data scientists, software engineers, and business stakeholders.
• Provide technical leadership, code reviews, and guidance to team members.
• Apply best practices for testing, deployment, monitoring, and production support.

Conocimientos

Python

PySpark

AWS

Jenkins

Data engineering

Leadership

Communication

Descripción del empleo

Yoh is seeking a Lead Data Engineer in McLean, VA to lead data engineering and ML initiatives. Strong hands-on experience with Python, PySpark, AWS, and Jenkins is required, along with the ability to guide technical development across engineering teams.

The role focuses on designing scalable data pipelines, cloud-based processing, and maintaining CI/CD pipelines, with emphasis on collaboration with data scientists and software engineers. Hybrid onsite work is preferred.