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Data Extraction Jobs in Colorado (NOW HIRING)

Business (Data) Analyst

Denver, CO · On-site

$80 - $150/hr

SQL, SNOWFLAKE, DATABRICKS, AWS, REDSHIFT, DATA WAREHOUSE, ETL * Experience: 7 + years * Develop Data Solutions: Analyze, design, and build applications and data pipelines using AWS, Databricks ...

Extracting of data - We extract data from any file format, including PDF. * Transforming of data - We then clean, restructure, aggregate and classify the data. * Quality Assurance - We perform ...

Data extraction * Data transformation * Data quality validation * Automation workflows * API integrations * Design and maintain Alteryx workflows for data preparation, blending, and analytics ...

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

Lead the design and implementation of ETL processes, extracting, transforming, and loading data into a data warehouse. * Data Quality: Ensure data integrity, consistency, and accuracy through robust ...

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Data Extraction information

See Colorado salary details

$10

$26

$65

How much do data extraction jobs pay per hour?

As of Aug 15, 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 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.

How to become a data extraction?

To become a data extraction specialist, develop skills in data analysis, 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 in this field.

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.

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 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:

What job categories do people searching Data Extraction jobs in Colorado look for?

The top searched job categories for Data Extraction jobs in Colorado are:

Infographic showing various Data Extraction job openings in Colorado as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $55,175 per year, or $26.5 per hour.

Business (Data) Analyst

Apetan Consulting llc

Denver, CO • On-site

$80 - $150/hr

Contractor

Re-posted yesterday


Job description

Job Title : Business (Data) Analyst

Job Location:- Denver, CO (Need only local candidate)

Job Type : Contract

Skills: SQL, SNOWFLAKE, DATABRICKS, AWS, REDSHIFT, DATA WAREHOUSE, ETL

  • Experience: 7+ years
  • Develop Data Solutions: Analyze, design, and build applications and data pipelines using AWS, Databricks, Redshift, and Snowflake.
  • ETL/ELT Development: Analyze standards and procedures for, and design data extraction, transformation, and loading (ETL/ELT) processes for both batch and real-time data.
  • Database Management: Design Data Lakes and Data Warehouses, and work with databases like Oracle and SQL Server.
  • SQL Expertise: Write advanced SQL queries, including performance tuning, to support data analysis and application needs.
  • Full Software Development Lifecycle: Handle the entire SDLC for data warehouse applications, from requirements analysis to implementation, testing, and debugging.
  • System Integration: Integrate, enhance, and fine-tune Enterprise Data Warehouses to consolidate data from various sources.