ZipRecruiter

Log In

1

Data Extraction Jobs in Arizona (NOW HIRING)

Forhyre

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... Informatica/ETL. Responsibilities * Design and develop ETL processes based on functional and non ...

Prophecy Technologies

AppTio Engineer

Phoenix, AZ · On-site

The position requires hands-on experience in data ETL, data analysis, system configuration, troubleshooting, and API integration, configuration, and consumption. Familiarity with Agile development ...

IDEALFORCE LLC

Reporting Developer (30865)

Phoenix, AZ

$47 - $64.25/hr

Communicate to clients, developers and management on developed designs, reports, data ETL's, etc. Qualifications Primary job responsibilities: Write SQL/PL-SQL functions, procedures, and triggers ...

Sarian, Inc.

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow 6) Knowledge of Airflow and CI/CD pipelines 7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc ...

Sonsoft Inc

SQL DB2 Platform

Scottsdale, AZ · On-site

$50.25 - $63/hr

Note: - * 8+ years of total IT experience * 3 to 5 years of experience with strong hold on SQL and DB2 (should be able to code/decode SQL/DB2 queries for data extraction and massaging) * Should have ...

Sonsoft Inc

SQL DB2 Platform

Phoenix, AZ

$49.75 - $62/hr

... data extraction and massaging) * Should have good hands-on experience of Stored procedures * Excellent communication skills Qualifications * 8+ years of total IT experience Note: - * This is not DBA ...

Sonsoft Inc

SQL DB2 Platform

Phoenix, AZ · On-site

$49.75 - $62/hr

... data extraction and massaging) * Should have good hands-on experience of Stored procedures * Excellent communication skills Qualifications * 8+ years of total IT experience Note: - * This is not DBA ...

xCroTek

Snowflake Data Modeler

Snowflake, AZ · On-site

$90 - $120/hr

Work with ETL/ELT teams to support data integration pipelines and ensure model alignment. * Document data models, metadata, and lineage to support governance and compliance. * Troubleshoot and ...

Ztek Consulting

AppTio Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

Data ETL * API Consumption * Data Analysis * Trouble shooting * System Configuration * Software Development * Tech Portfolio Management or IT Financial Management skills a plus * SaaS ERP System ...

Tata Consultancy Service Limited

ETL Developer

Phoenix, AZ · On-site

$100K - $125K/yr

Roles & Responsibilities • Design, develop, and maintain ETL workflows, mappings, sessions, and workflows using Informatica PowerCenter to support enterprise data integration. • Develop and ...

previous page

Showing results 41-60

All JobsData Extraction JobsData Extraction Jobs in Arizona

Data Extraction information

See Arizona salary details

$11

$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 Engineer

Forhyre

Phoenix, AZ

$113K - $136K/yr

Full-time

Re-posted 27 days ago

Job description

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL
Secondary: Databricks
Nice to have: Informatica/ETL.

Responsibilities

  • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform
  • Understand the full end to end development activities from design to go live for ETL development and Azure platform
    Recommend and execute improvements
  • Document component design for developers and for broader communication.
  • Understand and adopt an Agile (SCRUM like) software development mindset
  • Follow established processes/standards, business technology architecture for development, release management and deployment process
  • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
  • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
  • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
  • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.

Requirements

  • Proven working experience as a data engineer
  • Bachelor degree or equivalent in Computer Science
  • Skilled in Python object-oriented programming
  • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS
  • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora
  • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager
  • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms
  • Skilled in SQL
  • Skilled in Jenkins
  • Skilled in JSON
  • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica
  • Skilled in cloud technologies and cloud computing
  • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere
  • Determining causes of operating errors and taking corrective action
  • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data
  • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB
  • Programming including coding, debugging, and using relevant programming languages
  • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc.
  • Ability to frame ideas as systems and analyzing the inputs, outputs, and process
  • Experience helping an organization to plan and manage change in effort to meet strategic objectives
  • Adept at managing project plans, resources, and people to ensure successful project completion
  • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal