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Data Mapping Jobs in Colorado (NOW HIRING)

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$67

How much do data mapping jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for data mapping in Colorado is $33.45, according to ZipRecruiter salary data. Most workers in this role earn between $19.69 and $45.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed for data mapping?

To excel in Data Mapping, you need a solid understanding of data structures, database management, and data migration methodologies, often backed by a degree in computer science or information systems. Familiarity with ETL tools, data mapping software (such as Informatica or Talend), and relevant certifications like CDMP are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart. These competencies are vital to ensure accurate, efficient mapping of complex data between systems, minimizing errors and supporting organizational data initiatives.

What does a data mapping professional do?

A Data Mapping job involves identifying, organizing, and transforming data from one format or system to another while ensuring accuracy and consistency. Professionals in this role analyze data structures, create mapping documentation, and work closely with developers and analysts to support data integration, migration, or transformation projects. Strong attention to detail and knowledge of data formats, databases, and ETL (Extract, Transform, Load) processes are essential.

What are popular job titles related to Data Mapping jobs in Colorado? For Data Mapping jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Mapping jobs in Colorado look for? The top searched job categories for Data Mapping jobs in Colorado are:
What cities in Colorado are hiring for Data Mapping jobs? Cities in Colorado with the most Data Mapping job openings:
Data Mapping jobs near you
Infographic showing various Data Mapping job openings in Colorado as of July 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $69,582 per year, or $33.5 per hour.

Maps Quality Rater - English Fluency

Welo Data

Centennial, CO • Remote

$20.30/hr

Full-time

Re-posted 7 hours ago

Job description

Job Title: Maps Quality Rater - English Fluency

What if your everyday search experience could help improve the accuracy and relevance of personalized recommendations used by millions of people worldwide?

WHAT YOU’LL DO

  • Review personalized search queries and location recommendations based on your activity history
  • Evaluate the relevance and usefulness of suggested places, such as restaurants and local businesses

YOU ARE A FIT IF YOU’RE…

  • Located in the United States and fluent in English
  • An active Gmail user with prior Google Maps usage history

PROJECT DETAILS

  • Location: Remote (United States)
  • Employment Type: Freelance
  • Language: English (Fluent)
  • Estimated Commitment: 8–10 hours

BENEFITS

  • $20.30 USD per hour
  • Fully remote and flexible work arrangement

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.