Data Engineer

• 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, * 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

• 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

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.