Sr. Data Engineer

ManpowerGroup; Dallas (TX); Hybrid; USD 124,000 - 131,000; Full time

Benefits offered by this job

Medical Plans

Dental Plan

Vision Plan

Health Savings Account

Health FSA

Dependent Care FSA

Supplemental Life Insurance

Short/Long Disability Insurance

Travel Insurance

401k Matching

Weekly Pay

Job summary

ManpowerGroup is seeking a Sr. Data Engineer for a leading technology and data solutions organization in Dallas, Texas.

The role emphasizes building scalable cloud data pipelines, and supporting cloud migrations from AWS to GCP, with collaboration across cross-functional teams. The ideal candidate brings hands-on experience with Databricks, Spark, SQL, Python, Airflow, and Terraform, plus strong cloud migration skills in a hybrid onsite setting.

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

CI/CD

DevOps

AWS

GCP

Tools

Terraform

Job description

Our client, a leading organization in the technology and data solutions industry, is seeking a Sr. Data Engineer to join their team.

As a Sr. Data Engineer, you will be part of the Data Engineering Department supporting cloud migration and large-scale data platform initiatives.

The ideal candidate will have strong communication skills, proactive problem-solving abilities, and a collaborative mindset, which will align successfully in the organization.

Job Title: Sr. Data Engineer

Location: Dallas, Texas (onsite 3 days/week)

Pay Range: $90-95/hour, based on experience

What's the Job?

• 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.

What's Needed?

• 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.

What's in it for me?

• Opportunity to work on impactful cloud migration projects.

• Engagement with cutting-edge data engineering technologies and platforms.

• Collaborative and innovative work environment.

• Competitive hourly pay rate with potential for higher compensation for strong candidates.

• Flexible work arrangements within the hybrid onsite model.

Upon completion of waiting period consultants are eligible for:

• Medical and Prescription Drug Plans

• Dental Plan

• Vision Plan

• Health Savings Account

• Health Flexible Spending Account

• Dependent Care Flexible Spending Account

• Supplemental Life Insurance

• Short Term and Long Term Disability Insurance

• Business Travel Insurance

• 401(k), Plus Match

• Weekly Pay

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.