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Data Extraction Jobs in Arizona (NOW HIRING)

IntraEdge

Senior Solutions Data Architect

Scottsdale, AZ

$68.75 - $91.75/hr

Develops and maintains data artifacts and acts as a liaison between ETL, integration, Data Science and BI team(s) to support development of data solutions. * Plan, design, and monitor these security ...

IntraEdge

Senior Solutions Data Architect

Scottsdale, AZ

$68.75 - $91.75/hr

Develops and maintains data artifacts and acts as a liaison between ETL, integration, Data Science and BI team(s) to support development of data solutions. * Plan, design, and monitor these security ...

R.S. Hughes Company Inc.

Senior Data Engineer

Phoenix, AZ · On-site

$101K - $137K/yr

Design, develop, and maintain robust ELT/ETL pipelines using Azure Synapse Analytics, Azure Logic Apps, and related Azure services * Ingest data from diverse source systems including databases, flat ...

New

Contexture

Data Analyst

Phoenix, AZ · Remote

$5.7K - $6.5K/mo

Hands-on experience with data extraction from data sources using analysis tools and programming languages, specifically Python and SQL. * Ability to understand and analyze various data domains ...

Contexture

Data Analyst

Phoenix, AZ · On-site

$5.7K - $6.5K/mo

Hands-on experience with data extraction from data sources using analysis tools and programming languages, specifically Python and SQL. * Ability to understand and analyze various data domains ...

Contexture

Data Analyst

Phoenix, AZ · Remote

$5.7K - $6.5K/mo

Hands-on experience with data extraction from data sources using analysis tools and programming languages, specifically Python and SQL. * Ability to understand and analyze various data domains ...

Addison Group

Data Entry Specialist

Phoenix, AZ · On-site

$59K - $75K/yr

Experience with data extraction, reporting, and analysis * Strong written and verbal communication skills * Ability to manage multiple priorities and meet deadlines * Proficiency with Microsoft ...

Sonsoft Inc

..Java Developer

Phoenix, AZ

$50.75 - $65.50/hr

... extraction, data load, reporting, application maintenance, application / production support and release management. Knowledge of available tools and development frameworks. Ability to work in a ...

Verano

Extraction Specialist

Coolidge, AZ · On-site

As an Extraction Specialist, you are responsible for the cannabis extraction process and the ... Maintain Material Safety Data Sheets (MSDS) for all chemicals and products. * Follow laboratory ...

Globe Telecom, Inc.

Data Science Manager

Globe, AZ

Lead data extraction, exploration, cleansing, and transformation of large and complex datasets * Design, engineer, and validate features needed for predictive models and advanced analytics * Build ...

Synergie Systems

Junior SQL Developer

Phoenix, AZ · On-site

$66K - $86K/yr

... data extraction, transformation, validation, and reporting. · Troubleshoot SQL queries and database-related issues. · Monitor database performance and assist with query optimization. · Support ...

Amazon

Data and Reporting Analyst, AMXL XLOC

Tempe, AZ · On-site

Key job responsibilities - Write and maintain advanced SQL queries for data extraction, transformation, and scheduled reporting jobs that support recurring business needs - Design and automate Excel ...

Amazon

Business Analyst II - AMZ27049.1

Tempe, AZ · On-site

$75K - $130K/yr

Analyze forecast and metrics data. Automate reports for promotional and project launch campaigns. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly ...

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All JobsData Extraction JobsData Extraction Jobs in Arizona

Data Extraction information

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$27

$67

How much do data extraction jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data extraction in Arizona is $27.36, according to ZipRecruiter salary data. Most workers in this role earn between $14.70 and $30.34 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 Arizona?

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

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

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

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

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

Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $56,906 per year, or $27.4 per hour.

Data Control Analyst 2

Network Technologies International, Inc.

Scottsdale, AZ • On-site

$60K - $90K/yr

Full-time

Posted 6 days ago

Job description

Job Title
Data Control Analyst 2Job Category
Exempt
Reports To
Team Lead and/or Project Director
Location
Scottsdale, AZ (Hybrid)
Job Description & Overview
Gathers, organizes, and catalogs telecommunications information from various sources for input into company database.  Processed data must conform to team standards and quality specifications.  Duties also include analyzing database information for consistency, errors, and patterns using database analysis.
Educational & Experience Requirements
  • Bachelor’s degree in Mathematics, Engineering, Accounting, Statistics, related degree, or equivalent experience
  • Minimum of 2 years of on-the-job analytical experience
Security Requirements
  • U.S. Citizenship Required
  • Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information
Required Qualifications
  • Efficient using Microsoft Excel
  • Proficient in job-related Microsoft Office products
  • Intermediate experience in the research and collection of technical data (e.g., technical specifications, product data)
  • Data Literacy: Intermediate competency in finding, manipulating, managing, and interpreting data, numbers, text, and images
  • Meticulous attention to detail
  • Strong analytical and problem solving skills
  • Exceptional prioritization, process, and communication skills
  • Strong work ethic
  • Must show initiative and have the ability to work on multiple tasks
  • Must exhibit time management skills
  • Ability to work independently to meet set goals and objectives
  • Ability to work in a team environment and use available resources in meeting team deadlines
  • Must be willing to quality check data records in accordance with established company processes and standards
Preferred Qualifications
  • Intermediate knowledge of Oracle 10g/11g or other RDBMS
  • Intermediate ability to write queries using SQL
  • Intermediate ability to utilize Excel functionality, such as VLookups, Charts, and Pivot Tables
  • Familiarity with mobile application development concepts and data structures
  • Experience with data extraction and collection techniques, including bulk data retrieval from digital sources
  • Experience writing, testing, and refining code to ensure reliability, efficiency, and scalability
  • Basic knowledge in telecommunication numbering principles, network structures, services and technologies
Responsibilities
  • Analyze database information
  • Conduct research via the Internet and through information within company library and other available sources
  • Analyze/Rationalize data from multiple sources, often global in nature, having a moderate degree of complexity
  • Conduct data collection from mobile applications and other digital sources
  • Create status reports for management purposes
  • Work with team members to complete set objectives
  • Train and mentor less experienced team members on routine tasks
  • Execute and/or create basic automation scripts and process associated data
  • Generate client reports, as assigned
  • Understand and demonstrate corporate core values
  • Adhere to quality procedures defined in the company’s Quality Management System, which is consistent with ISO 9001:2015 standards and company goals
  • Perform related duties to support production and delivery needs, as assigned

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