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Data Extraction Jobs in Colorado (NOW HIRING)

Samprasoft

Data And Reporting Analyst

Englewood, CO · On-site

... data extraction and parsing. Perform testing of WIFI devices (Charter Engineers to train) to establish intimate understanding of data and opportunities to improve data formatting/analysis. Create ...

StructureIT

Junior Data Analyst - CMBS

Anton, CO · Hybrid

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 ...

Covetit

Reporting Data Analyst

Denver, CO · On-site

Collaborate with business stakeholders to gather, analyze, and validate reporting and data extract requirements. * Translate complex insurance business processes into data models, KPIs, metrics, and ...

Overwatch Agriculture

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 ...

US Bank

Senior Data Scientist

Denver, CO

$132K - $155K/yr

... extract, collect, organize, analyze and interpret trends or patterns in complex data sets - Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data ...

CEDENT

Data Developer

Greenwood Village, CO · Hybrid

$40 - $60/hr

Responsible for building, managing, and deploying custom analyses and writing new codes to support recurring reports via data extraction, monitoring, documentation, reporting, visualization ...

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All JobsData Extraction JobsData Extraction Jobs in Colorado

Data Extraction information

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$10

$26

$65

How much do data extraction jobs pay per hour?

As of Jul 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 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 extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

What are the key skills and qualifications needed to thrive in the Data Extraction position, 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 job?

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 is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
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:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Colorado as of June 2026, with employment types broken down into 48% Full Time, and 52% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $55,175 per year, or $26.5 per hour.
Principal Engineer, Data Management & Business Intelligence

Principal Engineer, Data Management & Business Intelligence

EchoStar

Englewood, CO • On-site, Remote

$169K - $208K/yr

Full-time

Posted 5 days ago

EchoStar rating

7.1

Company rating: 7.1 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

52nd of 80 rated telecommunications companies

Job description

Company Summary

EchoStar builds solutions that help families and communities stay connected. We’ll launch your career and empower you to change lives.

Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. We serve millions of customers with offerings ranging from satellite to streaming services and global to personal networking solutions. 


Department Summary

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow. 


Job Duties and Responsibilities

Principal Engineer, Data Management & Business Intelligence (Dish Network LLC, Englewood, Colorado)

Design, develop, and implement data solutions and data pipelines using cloud-based and distributed data platforms. Define standards and procedures for data extraction, transformation, and loading (ETL/ELT) processes supporting both batch and real-time data processing. Design and maintain data lakes and data warehouses to support enterprise reporting and analytics. Work with relational and analytical databases to store, manage, and retrieve structured and semi-structured data. Develop and optimize complex SQL queries, including performance tuning, to support data analysis and application requirements. Provide technical support to team members and collaborate with cross-functional and offshore teams as needed. Build the lakehouse and business intelligence applications, including requirements analysis, development, testing, and deployment. Integrate and enhance enterprise data lakehouse solutions to consolidate data and leverage future AI use cases from multiple internal and external data sources. Follow Agile development methodologies and established engineering best practices.Salary: $169,062 - $208,725 per year.


Skills, Experience and Requirements

Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, Applied Computer Science, or a related field, plus 5 years of professional experience as a Data Engineer, or any occupation, job title, position involving design and development of batch and real-time data pipelines for enterprise data warehouse or data lake platforms.

Must also have experience in the following: 5 years of professional experience with data extraction, transformation, and loading including ETL and ELT processes for large-scale data integration. 5 years of professional experience designing and implementing data warehouse or data lake architectures, including enterprise data warehouse (EDW) environments. 5 years of professional experience writing, optimizing, and tuning complex SQL queries, including performance optimization for large datasets. 5 years of professional experience using programming and scripting languages, including SQL, Python, and Linux or Unix shell scripting, for data processing and automation. 5 years of professional experience providing production support for data systems, including troubleshooting data issues, tracing data flows from source to target, and resolving pipeline failures. 3 years of professional experience in data modeling and integrating data from multiple heterogeneous sources, including structured and semi-structured data. 2 years of professional experience working in Agile software development environments, including participating in sprint planning, development cycles, and releases using tools including

JIRA and Git-based version control systems.


Salary Ranges
Compensation: $169,062.00/Year - $208,725.00/Year
Benefits

Apply online at echostar.com/careers OR email resume to tasharedservices@dish.com. Must specify REQ # 2026-99844

Qualifications:

Bachelor’s degree or U.S. equivalent in Computer Science, Computer Engineering, Information Technology, Applied Computer Science, or a related field, plus 5 years of professional experience as a Data Engineer, or any occupation, job title, position involving design and development of batch and real-time data pipelines for enterprise data warehouse or data lake platforms.

Must also have experience in the following: 5 years of professional experience with data extraction, transformation, and loading including ETL and ELT processes for large-scale data integration. 5 years of professional experience designing and implementing data warehouse or data lake architectures, including enterprise data warehouse (EDW) environments. 5 years of professional experience writing, optimizing, and tuning complex SQL queries, including performance optimization for large datasets. 5 years of professional experience using programming and scripting languages, including SQL, Python, and Linux or Unix shell scripting, for data processing and automation. 5 years of professional experience providing production support for data systems, including troubleshooting data issues, tracing data flows from source to target, and resolving pipeline failures. 3 years of professional experience in data modeling and integrating data from multiple heterogeneous sources, including structured and semi-structured data. 2 years of professional experience working in Agile software development environments, including participating in sprint planning, development cycles, and releases using tools including

JIRA and Git-based version control systems.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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