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Data Extraction Jobs in Alabama (NOW HIRING)

Data Visualization Engineer I

Birmingham, AL · On-site

$107K - $128K/yr

Work with ETL processes and data pipelines * Support data warehousing environments (Azure, AWS, SAP) * Ensure data quality and integrity across reporting systems Collaboration & Documentation

Key Responsibilities Data Management & Integration · Extract, validate, and integrate data from multiple systems, including: o Allscripts (Practice Management) o Veradigm (EHR) o ARIA Oncology ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

JOB DUTIES • Designs, builds, and maintains scalable data pipelines and ETL processes to support financial reporting, operational analysis, and business intelligence needs. • Designs and manages ...

Senior Data Architect

Redstone Arsenal, AL

$68.75 - $91.75/hr

Design and maintain data pipelines, ETL processes, data lakes, and data warehouses * Create enterprise strategies and data-driven solutions to support ACC operations and mission success * Design and ...

Data Engineer

Huntsville, AL · On-site

$106K - $128K/yr

Design and develop scalable data pipelines and ETL processes. * Build and maintain data architectures optimized for analytics and transactional workloads. * Manage data migration initiatives and data ...

Senior Data Architect

Redstone Arsenal, AL

$68.75 - $91.75/hr

Design and maintain data pipelines, ETL processes, data lakes, and data warehouses * Create enterprise strategies and data-driven solutions to support ACC operations and mission success * Design and ...

Data Engineer

Huntsville, AL · On-site

$106K - $128K/yr

Design and develop scalable data pipelines and ETL processes. * Build and maintain data architectures optimized for analytics and transactional workloads. * Manage data migration initiatives and data ...

... data extraction. Handle software used for tracking & testing Program database configuration and data extracts to client specifications. Plan and coordinate project database configuration tasks in ...

TAGM Data Engineer

Redstone Arsenal, AL · Hybrid

$116K - $140K/yr

Extract, Transform, and Load (ETL) data from various sources into centralized data warehouses or data lakes. Automate manual data processes and optimize data delivery infrastructure. Establish and ...

TAGM Data Engineer

Redstone Arsenal, AL · On-site

$116K - $140K/yr

Roles and Responsibilities • Design, construct, test, and maintain scalable data pipelines and architectures. • Extract, Transform, and Load (ETL) data from various sources into centralized data ...

Data Engineer

Mobile, AL · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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Data Extraction information

See Alabama salary details

$9

$23

$58

How much do data extraction jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data extraction in Alabama is $23.83, according to ZipRecruiter salary data. Most workers in this role earn between $12.81 and $26.43 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 popular job titles related to Data Extraction jobs in Alabama? For Data Extraction jobs in Alabama, the most frequently searched job titles are:
Infographic showing various Data Extraction job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,569 per year, or $23.8 per hour.

Data Visualization Engineer I

4pconsultinginc

Birmingham, AL • On-site

$107K - $128K/yr

Contractor

Posted 20 days ago


Job description

Position: Data Visualization Engineer I

Duration: 12 Months
Location: 3535 Colonnade Parkway, Birmingham, AL 35243

Client: Southern Company Services.


Position Summary

The Data Visualization Engineer I is responsible for designing and developing data visualizations and dashboards using datasets from multiple sources. This role combines analytical thinking, technical capability, and visual storytelling to transform complex data into clear, actionable insights.

The ideal candidate has experience with modern BI tools, programming languages, and cloud data environments, and demonstrates strong analytical and problem-solving skills.


Key Responsibilities

Dashboard & Visualization Development

  • Design, develop, and maintain dashboards and interactive reports
  • Create compelling visualizations that clearly communicate trends and insights
  • Ensure data accuracy, clarity, and usability in all visual deliverables
  • Provide visual, technical, and editorial expertise for reporting content

Data Analysis & Modeling

  • Perform analytics using:
    • Predictive modeling
    • Machine learning techniques
    • Data mining
    • Statistical analysis
  • Translate business requirements into technical data solutions

Data Engineering & Integration Support

  • Work with ETL processes and data pipelines
  • Support data warehousing environments (Azure, AWS, SAP)
  • Ensure data quality and integrity across reporting systems

Collaboration & Documentation

  • Partner with data engineers, analysts, and business stakeholders
  • Document data sources, transformations, and dashboard logic
  • Maintain version control using Git

Required Qualifications

Education

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical discipline
  • Advanced degree preferred

Technical Skills

Experience with:

  • Python
  • SQL
  • R or Java
  • pandas
  • dbt
  • Git
  • Tableau
  • Power BI
  • Microsoft Excel

Familiarity with:

  • ETL processes
  • Data pipelines
  • Data warehousing platforms (Azure, AWS, SAP)