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Data Extraction Jobs in Colorado (NOW HIRING)

Apex Systems

Integration/Data Engineer

Denver, CO · Hybrid

Develop automated scripts for data extraction, conditioning, and integration of large data sets into actionable insights for informed client decision-making - and maintain developed models. * Support ...

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 ...

Argyle Infotech

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Proficiency in writing complex SQL queries, preferably in Snowflake, for data extraction, manipulation, and optimization. * Collaborate with key stakeholders to deliver on their data and analytics ...

Zortech Solutions

Data Engineer-Snowflake- US

Denver, CO · On-site

$117K - $141K/yr

Proficiency in writing complex SQL queries, preferably in Snowflake, for data extraction, manipulation, and optimization. * Collaborate with key stakeholders to deliver on their data and analytics ...

Welch Equipment

Customer Data Analyst

Denver, CO · On-site

$75K - $90K/yr

Skilled in data extraction, problemsolving, organization, and time management. * Detailoriented with strong customer service and teamwork abilities, while also able to work independently.

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 ...

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Data Extraction information

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$10

$26

$65

How much do data extraction jobs pay per hour?

As of Jun 9, 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.

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 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
Data Scientist I - Customer Lifecycle

Data Scientist I - Customer Lifecycle

Boost Mobile

Littleton, CO • On-site

Full-time

Posted 6 days ago

Boost Mobile rating

6.3

Company rating: 6.3 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

59th of 76 rated telecommunications companies

Job description

Job Summary:
EchoStar is reimagining the future of connectivity, and they are seeking a Data Scientist I for their Retail Wireless team. The role focuses on transforming customer lifecycle data into predictive models to drive retention and enhance user experiences through advanced machine learning and AI tools.
Responsibilities:
• Develop, train, and validate machine learning models focused on key customer lifecycle events, including churn prediction and lifetime value, to directly improve departmental retention OKRs
• Extract and transform complex, large-scale data from the data warehouse to engineer high-quality features that measurably increase model accuracy and business relevance
• Leverage generative AI frameworks and large language models (LLMs) to design and deploy internal intelligent agents and conversational chatbots that automate operational tasks
• Translate sophisticated model outputs and predictive analytics into clear, actionable business strategies, partnering with analysts to design rigorous A/B tests
• Monitor the post-deployment performance of all live models, proactively identifying data drift and executing model retraining cycles to adapt to evolving customer behaviors
• Design and build interactive dashboards that visualize the tangible, data-driven outcomes of machine learning and AI initiatives for cross-functional stakeholders
Qualifications:
Required:
• Strong proficiency in Python for complex data manipulation and statistical modeling, combined with advanced SQL capabilities for large-scale data extraction
• Deep understanding of traditional machine learning algorithms, including regression, classification, and tree-based models, along with their respective evaluation metrics
• AI Literacy and Application skills, specifically a foundational understanding of LLMs, prompt engineering, and modern generative AI frameworks to build intelligent tools
• Expertise in data visualization and data interpretation, utilizing tools like Tableau or Power BI to translate complex technical findings into intuitive dashboards
• Critical experience in building, validating, and deploying predictive models within a professional or intensive applied academic environment
• Excellent problem-solving, collaboration, and technical communication skills, with a natural curiosity to troubleshoot complex code and clearly document processes
• Minimum Education: Bachelor’s Degree in Data Science, Statistics, Computer Science, Mathematics, or a highly quantitative field
• Minimum Experience: 1 year of professional data science experience, or a Master's degree in a quantitative field with applied academic/internship experience
• Required Technical Skills: Python for data manipulation and modeling
• Required Technical Skills: SQL for data extraction
• Required Technical Skills: Traditional ML algorithms and evaluation metrics
Preferred:
• Familiarity with modern cloud data stack environments such as Snowflake, Databricks, Spark, AWS, or GCP
• A Master’s degree in a quantitative field with strong applied academic or internship experience in data science
Company:
Boost Mobile offers wireless phones and services with no long-term contracts. Founded in 2000, the company is headquartered in Irvine, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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