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Data Engineer

ManpowerGroup

Remote · USJobSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Remote · US
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

The Data Engineer will join the Data & Analytics organization to support data engineering and analytics enablement. The role leads technical execution of cloud-based data solutions from design through deployment, builds and supports data pipelines, and develops data models for reporting and analytics. It also collaborates with stakeholders and aligns data products with architecture standards and governance requirements.

Skills & qualifications

RequiredNice to have

Skills

Cloud Data Platforms, requiredAzure Data Stack, requiredDatabricks, requiredUnity Catalog, requiredData Modeling, requiredData Pipeline Development, requiredPython, requiredSpark, requiredSQL, requiredGit, requiredCI/CD, requiredPower BI, requiredPower Platform, required

Qualifications

Seven Years Data Solutions Experience, requiredBachelor's Degree, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match

Full job description

Our client, is seeking a Data Engineer to join their team. As a Data Engineer, you will be part of the Data & Analytics organization supporting data engineering and analytics enablement. The ideal candidate will have a strong sense of personal responsibility, a collaborative mindset, and the drive to deliver reliable, secure data solutions that meet service-level expectations.

Job Title: 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

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

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.

How this job compares

Set against the 6,174 open Data Engineer jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This postingNot listed
  • Arizona median$116–212K/yr70 salary ranges
  • US median$60–70/hr270 hourly ranges
Openings
Olive Jobs lists 82 open Data Engineer jobs in Arizona and 6,174 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Arizona
Experience
This posting asks for at least 7 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,392 postings).
Education
This posting asks for a bachelor's degree; 2,381 of the 6,174 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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