Senior Data Engineer - Cloud Pipelines & Migration (Dallas)

Experis Technology Group; Dallas (TX); On-site; USD 124,000 - 131,000; Full time

Benefits offered by this job

Medical plans

Dental plan

Vision plan

401(k) Plus Match

Weekly Pay

Job summary

ManpowerGroup Global, Inc. in Dallas, TX is seeking a Sr. Data Engineer to design and optimize scalable cloud data pipelines and support large-scale migrations from AWS to GCP.

This onsite role is 3 days per week, offering collaboration across cross-functional teams and a strong DevOps mindset. The ideal candidate will have Databricks, Spark, and SQL proficiency, cloud platform experience (GCP/AWS), and Python development skills, with Terraform-driven infrastructure automation and robust CI/CD

Qualifications

• Hands-on experience with Databricks, Spark, and SQL for data engineering tasks.
• Proficiency in cloud platforms, especially GCP and AWS, with cloud migration experience.
• Strong programming skills in Python, Spark, and SQL.
• Experience with Airflow orchestration and infrastructure automation using Terraform.
• Knowledge of DevOps practices, CI/CD pipelines, and deployment automation.

Responsibilities

• Design, develop, and optimize scalable cloud data pipelines and platforms.
• Support large-scale cloud migration initiatives, primarily AWS to GCP.
• Collaborate with cross-functional teams to deliver data solutions that meet business needs.
• Troubleshoot and resolve performance issues in data workflows and pipelines.
• Implement infrastructure automation using Terraform and support CI/CD pipelines.

Skills

Databricks

Spark

SQL

Python

Airflow

Cloud migration

CI/CD

Deployment automation

Data engineering

Tools

Terraform

GCP

AWS

Job description

ManpowerGroup Global, Inc. in Dallas, TX is seeking a Sr. Data Engineer to design and optimize scalable cloud data pipelines and support large-scale migrations from AWS to GCP.

This onsite role is 3 days per week, offering collaboration across cross-functional teams and a strong DevOps mindset. The ideal candidate will have Databricks, Spark, and SQL proficiency, cloud platform experience (GCP/AWS), and Python development skills, with Terraform-driven infrastructure automation and robust CI/CD