Hybrid Data Engineer: Lead Big Data & ML Pipelines

Eliassen Group; McLean (VA); Hybride; USD 103 000 - 128 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Résumé du poste

Eliassen Group in McLean, VA is seeking a Data Engineer to lead data management and build scalable data pipelines using Python, PySpark, AWS, and Jenkins in a hybrid onsite role.

You will design and optimize analytics-ready data platforms, ensure data quality, collaborate with stakeholders, and implement CI/CD workflows on AWS and Jenkins. 5–10 years of data engineering experience is required.

Qualifications

• 5 to 10 years of data engineering experience.
• Proficiency in Python and PySpark.
• Hands-on experience with AWS data and compute services.
• Experience configuring and maintaining Jenkins pipelines.
• Experience with big data or machine learning engineering concepts and tools.
• Ability to work in a hybrid on-site environment in McLean, VA.

Responsabilités

• Design, build, and optimize data pipelines and data platforms supporting analytics and machine learning workloads.
• Develop scalable data processing solutions using Python and PySpark.
• Implement data workflows and CI/CD automation using AWS services and Jenkins.
• Ensure data quality, reliability, and performance across batch and streaming processes.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Monitor, troubleshoot, and improve pipeline resiliency and cost efficiency.

Connaissances

Python

PySpark

Data pipelines

Machine learning concepts

Outils

AWS

Jenkins

Description du poste

Eliassen Group in McLean, VA is seeking a Data Engineer to lead data management and build scalable data pipelines using Python, PySpark, AWS, and Jenkins in a hybrid onsite role.

You will design and optimize analytics-ready data platforms, ensure data quality, collaborate with stakeholders, and implement CI/CD workflows on AWS and Jenkins. 5–10 years of data engineering experience is required.