Hybrid Spark Engineer - DevOps & Data Platforms

Experis-US; Plano (TX); Hybrid; USD 90,000 - 94,000; Full time

Benefits offered by this job

Medical benefits

Dental plan

Vision plan

401(k) with company match

Job summary

ManpowerGroup is seeking a Spark Developer in Plano, TX, with 3 days on-site in a hybrid role. The candidate will support production systems, develop Spark applications for performance optimization, and collaborate with internal and external teams to resolve issues.

The role demands strong troubleshooting, ETL/Big Data (Hadoop) knowledge, SQL expertise, and autonomous work style. The team uses modern CI/CD practices in a busy production environment.

Qualifications

• Mid to senior level software engineer with production support / DevOps experience.
• Strong Spark development, performance optimization, and troubleshooting skills.
• Experience with ETL, Hadoop, and SQL and data warehousing concepts.
• Unix, scheduling tools, and scripting to support operational workflows.

Responsibilities

• Support production systems as part of a production support / DevOps environment, partnering with internal and external technical teams to resolve issues.
• Develop and enhance Spark applications with a focus on performance optimization, reliability, and maintainability.
• Troubleshoot production incidents by analyzing data and code to identify root causes, including data quality and integrity concerns.
• Work with ETL and big data ecosystems (including Hadoop) and SQL to support data warehousing workflows and downstream consumers.
• Identify opportunities for optimization and automation, including improvements to scheduling, scripting, and operational processes.

Skills

Spark development

Performance optimization

Troubleshooting

Unix

Scripting

ETL

Big Data (Hadoop)

SQL

DevOps

Production support

Job description

ManpowerGroup is seeking a Spark Developer in Plano, TX, with 3 days on-site in a hybrid role. The candidate will support production systems, develop Spark applications for performance optimization, and collaborate with internal and external teams to resolve issues.

The role demands strong troubleshooting, ETL/Big Data (Hadoop) knowledge, SQL expertise, and autonomous work style. The team uses modern CI/CD practices in a busy production environment.