Data Engineer

Experis Technology Group; Arizona; Remote; USD 110,000 - 140,000; 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账户

Job summary

ManpowerGroup, the parent company of Experis, is seeking a Data Engineer to design and deliver scalable data solutions on cloud platforms. You will lead the technical execution from solution design through deployment, ensuring performance, security, and reliability for enterprise data assets.

The role emphasizes building resilient pipelines, data modeling, and collaboration with business stakeholders to translate requirements into practical data products that scale across analytics platforms.

Qualifications

• Seven years of experience designing and delivering enterprise data solutions.
• Bachelor's degree from an accredited college or university.
• Hands-on experience with Azure data stack (Databricks, Unity Catalog).
• Proficient at architecting data models and building complex pipelines with Python/Spark and SQL.
• Experience with Git, CI/CD, and analytics tools like Power BI.

Responsibilities

• Design, develop, and implement scalable data solutions across cloud platforms and lead execution from design to deployment.
• Build, optimize, and support resilient data pipelines for ingestion, transformation, and delivery of data assets.
• Develop and maintain logical and physical data models for reporting and analytics.
• Collaborate with stakeholders to translate requirements into technical designs and manage dependencies.
• Ensure alignment with architecture standards and governance while developing reusable data assets.

Skills

Python/Spark

SQL

Git

CI/CD

Azure

Power BI

Education

Bachelor's degree

Tools

Databricks

Unity Catalog

Power Platform

Job description

Data Engineer

Location: Remote

What's the Job?

• Design, develop, and implement scalable data solutions across cloud-based data platforms while leading technical execution from solution design through deployment, ensuring performance, security, reliability, and service-level requirements are met
• Build, optimize, and support resilient data pipelines that enable efficient ingestion, transformation, and delivery of data assets, while troubleshooting and resolving complex data integration, performance, and quality issues
• Develop and maintain logical and physical data models supporting reporting, analytics, and business operations, defining data structures, relationships, and integration approaches for enterprise analytical needs
• Collaborate with business stakeholders, analysts, and architects to translate business requirements into technical designs, prioritize data delivery activities, and manage solution dependencies
• Ensure alignment of data models, pipelines, and data products with established architecture standards and governance requirements, while supporting the development of reusable data assets and frameworks that improve scalability and consistency across solutions

What's Needed?

• Minimum seven years of recent experience designing and delivering enterprise data solutions
• Bachelors degree from an accredited college or university required
• Demonstrated deep knowledge and hands-on experience designing and implementing end-to-end data solutions across cloud data platforms across all project phases, including hands-on expertise with the Azure data stack (Databricks, Unity Catalog)
• Proven proficiency architecting data models and developing complex data pipelines using Python/Spark and SQL
• Experience with code management and deployment using Git repositories and CI/CD processes, along with an understanding of data consumption platforms and analytics tools such as Power BI and the Power Platform

What's in it for me?

• Opportunity to lead technical execution from solution design through deployment for scalable, cloud-based data platforms
• Work on resilient data pipelines that improve data ingestion, transformation, and delivery for enterprise analytics
• Collaborate across technical and business teams to translate requirements into practical, high-quality data solutions
• Build reusable data assets and frameworks that strengthen scalability and consistency across solutions
• Join an environment that values integrity, professionalism, and respectful, courteous teamwork

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.