BIg Data Engineer

Eliassen Group; McLean (VA); Hybrid; USD 103,000 - 128,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

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.

Responsibilities

• 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.

Skills

Python

PySpark

Data pipelines

Machine learning concepts

Tools

AWS

Jenkins

Job description

Description:

Hybrid 3 days onsite in McLean, VA

Our client seeks a Data Engineer to lead data management and big data or machine learning engineering initiatives. The role will focus on building and optimizing data pipelines and platforms using Python, PySpark, AWS, and Jenkins to support analytics and scalable data solutions.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $75.00 to $93.00/hr. w2

Responsibilities:

• 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.

Experience Requirements:

• 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.