1

Data Extraction Jobs in Arizona (NOW HIRING)

BI Data Analyst

Scottsdale, AZ · Remote

$35 - $45/hr

Designs, develops, and optimizes SQL queries to extract, transform, and analyze data across systems. Ensures data accuracy, consistency, and integrity. Documentation & Standards: Defines and ...

Senior data engineer

Phoenix, AZ

$105K - $143K/yr

Write, optimise, and maintain complex ANSI SQL queries for data extraction, transformation, validation, and reporting. * Implement data processing workflows and automation scripts to improve pipeline ...

Data Engineer AI

Phoenix, AZ · On-site +1

$113K - $136K/yr

Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3/RDS), and Azure (Blob/SQL), centralizing it for consumption in Snowflake and AI services. • ...

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 ...

Senior Solutions Data Architect

Scottsdale, AZ · On-site

$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 ...

Be Seen First

Write SQL queries to extract, transform, load, and analyze survey data across our active project portfolio * Manage sensitive client data with 100% accuracy while maintaining data structures ...

Data Solutions Engineer

Tempe, AZ · On-site +1

$91K - $156K/yr

Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Informatica IDMC. Develop automation ...

Develop and fine tune LLMs and transfer based models (BERT, Longformer, Mixtral)for tasks such as NER, structured data extraction, moderation, and chatbot assistance. Requires Master's Degree in ...

..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 ...

Data Engineer Sr

Phoenix, AZ · On-site

$113K - $136K/yr

Key responsibilities - - Design, Develop and maintain scalable and efficient data pipelines and ETL processes - Collaborate with analysts and stakeholders to gather requirements and implement data ...

next page

Showing results 1-20

Data Extraction information

See Arizona salary details

$11

$27

$67

How much do data extraction jobs pay per hour?

As of Jun 15, 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 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 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:

Full-time

Posted 12 days ago


Job description

Key skills required for the job are : Informatica IDQ and IDE-L3 ,ETL
• Must be US citizen
• At least 15+ years overall experience and 8+ years in Data Migration, Data Quality domain
• Excellent understanding of Data Quality and Data Extraction-Transformation-Load Lifecycle and Efforts estimation for Data Migration projects
• Responsible for E2E Data Migration Solution Definition and Deliverables Quality
• Define and execute detailed planning, cutover strategy for Data migration Design-Build-Trial Migration Run and Production Cutover
• Participate in DM strategy discussions and Source System Understanding , Data Quality improvement discussions
• Experience working with Offshore Technical delivery team • Proficiency in Informatica Powercenter ETL tool is MUST (Hands-on experience) for at least 5+ years
• Translate business needs into Technical requirements
• Excellent communication and listening skills
• Work closely with Customer and other stakeholders
• Previous experience dealing with IBM Maximo application as source or target is an added advantage