Senior Big Data Engineer — Spark, Hadoop & Pipelines

ManpowerGroup Global Inc.; McLean (VA); On-site; USD 150,000 - 156,000; Full time

Benefits offered by this job

Medical & Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Act?

Supplemental Life Insurance

Short Term and Long Term Disability

Business Travel Insurance

401(k) + Match

Weekly Pay

Job summary

ManpowerGroup in McLean, VA is seeking a Big Data Engineer to design, develop, and maintain large-scale data processing pipelines using Hadoop, Spark, Python, and Scala. This role focuses on building scalable ingestion, storage, transformation, and analysis solutions and ensuring reliability in production systems.

You will optimize pipelines, troubleshoot production issues, and contribute to automated testing and data quality frameworks, while partnering with data scientists and analysts to

Qualifications

• Bachelor's degree in Computer Science or related discipline with 5+ years of experience.
• Strong object-oriented and database knowledge, delivering enterprise-quality solutions.
• Experience with test automation and agile delivery practices.
• Hands-on with Hadoop/Spark/Hive/Trino and debugging data issues.
• Strong SQL with complex queries and edge-case handling.

Responsibilities

• Design, develop, and maintain large-scale data processing pipelines using Hadoop, Spark, Python, and Scala.
• Implement scalable data ingestion, storage, transformation, and analysis solutions.
• Optimize pipelines for performance and reliability and troubleshoot production issues.
• Develop automated testing frameworks and support data quality assurance.
• Collaborate with data scientists and analysts to enable data-driven decisions.

Skills

Big Data engineering

SQL proficiency

Agile delivery

OOP & databases

Test automation

Education

Bachelor's degree (CS/IS or related)

Tools

Hadoop

Spark

Hive

Trino

Python

Scala

Job description

ManpowerGroup in McLean, VA is seeking a Big Data Engineer to design, develop, and maintain large-scale data processing pipelines using Hadoop, Spark, Python, and Scala. This role focuses on building scalable ingestion, storage, transformation, and analysis solutions and ensuring reliability in production systems.

You will optimize pipelines, troubleshoot production issues, and contribute to automated testing and data quality frameworks, while partnering with data scientists and analysts to