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Data Extraction Jobs in Colorado (NOW HIRING)

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

The role supports manufacturing data strategy by aligning plant data, ETL/ELT[RD1.1][DT1.2], data hierarchy, , metrics, and semantic definitions so plant teams and central leadership can make, faster ...

The role supports manufacturing data strategy by aligning plant data, ETL/ELT[RD1.1][DT1.2], data hierarchy, , metrics, and semantic definitions so plant teams and central leadership can make, faster ...

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

The role supports manufacturing data strategy by aligning plant data, ETL/ELT[RD1.1][DT1.2], data hierarchy, , metrics, and semantic definitions so plant teams and central leadership can make, faster ...

IMS is seeking a mid-level Informatica ETL Developer / Administrator to support the migration of ETL workflows from Informatica PowerCenter to Informatica Intelligent Data Management Cloud (IDMC)

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data * Prepare literature review ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data * Prepare literature review ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data * Prepare literature review ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data * Prepare literature review ...

New

Showing results 41-60

Data Extraction information

See Colorado salary details

$10

$26

$65

How much do data extraction jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data extraction in Colorado is $26.53, according to ZipRecruiter salary data. Most workers in this role earn between $14.26 and $29.42 per hour, depending on experience, location, and employer.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

What are the key skills and qualifications needed to thrive in data extraction, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.

What are the most commonly searched types of Data Extraction jobs in Colorado?

The most popular types of Data Extraction jobs in Colorado are:

What are popular job titles related to Data Extraction jobs in Colorado?

For Data Extraction jobs in Colorado, the most frequently searched job titles are:

Infographic showing various Data Extraction job openings in Colorado as of August 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $55,175 per year, or $26.5 per hour.

Staff Data Analyst, Compliance & AML Analytics (Remote)

Unchain Data

Denver, CO • On-site

$142.60 - $257.60/hr

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Unchain Data in Denver is looking for a Staff Data Analyst to enhance the Compliance Analytics team. The candidate will lead data strategies for regulatory engagements and ensure compliance effectiveness through data-driven insights.

With at least 8 years of relevant experience, candidates should excel in SQL, data visualization, and ETL development. This role emphasizes clear communication and problem-solving, aiming to redefine compliance in a rapidly evolving environment.

Benefits include remote work, comprehensive medical insurance, flexible time off, and retirement savings plans. Salary ranges from $142,600 to $257,600 based on experience and location.

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