Sr. Data Engineer

ManpowerGroup; Dallas (TX); On-site; USD 121,000 - 131,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending

Supplemental Life Insurance

Short Term and Long Term Disability

401(k), Plus Match

Weekly Pay

Job summary

ManpowerGroup is seeking a Sr. Data Engineer to join our client’s team in the United States.

You will design, build, and optimize scalable Databricks data pipelines and production-grade solutions, owning technical delivery as a senior contributor to drive cloud migration and data platform modernization. You will work with Spark, SQL, Python, and Airflow to create reliable, observable workflows, using Terraform for infrastructure automation and CI/CD deployment practices.

Qualifications

• Hands-on Databricks experience at a senior level (data pipelines, workflows, and end-to-end engineering ownership).
• Proficiency with Python, Spark, and SQL, including performance tuning and troubleshooting for production workloads.
• Experience with cloud migration and data platform transitions (AWS to GCP preferred, but the client’s current cloud is acceptable).
• Working knowledge of Airflow orchestration and how to build reliable, observable pipeline workflows.
• Terraform experience for Infrastructure as Code, plus familiarity with CI/CD and deployment automation practices.

Responsibilities

• Design, build, and optimize scalable Databricks data pipelines, workflows, and production-grade data solutions.
• Own technical delivery as an experienced individual contributor—ramp quickly and contribute immediately to ongoing initiatives.
• Support cloud migration efforts and data platform modernization, working with the client’s cloud environment and tooling.
• Orchestrate and manage data workflows using Airflow, ensuring dependable scheduling, monitoring, and execution.
• Implement and maintain infrastructure automation using Terraform, supporting multi-environment deployments and repeatable releases.

Skills

Databricks

Spark

SQL

Python

Airflow

Terraform

CI/CD

Tools

Airflow

Terraform

CI/CD

Job description

**** No 3rd parties or corp-to-corp candidates for this role**

**** Local candidates preferred. In-person interview required.**

Our client is seeking a Sr. Data Engineer to join their team.

As a Sr. Data Engineer, you will be part of the Data Engineering organization supporting cloud migration and production data platform initiatives.

The ideal candidate will have hands-on Databricks experience, strong Spark and SQL performance tuning skills, and the ability to deliver reliable data pipelines with minimal guidance.

Job Title: Sr. Data Engineer

Location: Denver or Dallas

Pay Range: $88-95/hour, based on experience

What's the Job?

• Design, build, and optimize scalable Databricks data pipelines, workflows, and production-grade data solutions.

• Own technical delivery as an experienced individual contributor—ramp quickly and contribute immediately to ongoing initiatives.

• Support cloud migration efforts and data platform modernization, working with the client’s cloud environment and tooling.

• Orchestrate and manage data workflows using Airflow, ensuring dependable scheduling, monitoring, and execution.

• Implement and maintain infrastructure automation using Terraform, supporting multi-environment deployments and repeatable releases.

What's Needed?

• Strong, hands-on Databricks experience at a senior level (data pipelines, workflows, and end-to-end engineering ownership).

• Proficiency with Python, Spark, and SQL, including performance tuning and troubleshooting for production workloads.

• Experience with cloud migration and data platform transitions (AWS to GCP preferred, but the client’s current cloud is acceptable).

• Working knowledge of Airflow orchestration and how to build reliable, observable pipeline workflows.

• Terraform experience for Infrastructure as Code, plus familiarity with CI/CD and deployment automation practices.

What's in it for me?

• Opportunity to drive meaningful cloud migration and modern data engineering work as a senior individual contributor.

• Clear expectations for ownership—deliver solutions with minimal guidance and collaborate across engineering and platform teams.

• Hands-on work across Databricks, Spark, SQL, Airflow, Terraform, and CI/CD practices.

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

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

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.