1

Data Extraction Jobs in Alabama (NOW HIRING)

... data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. • Proficiency in statistical analysis and hypothesis ...

... ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. · Statistical Analysis: Proficiency in ...

Perform data extraction, transformation, and analysis using Snowflake, Palantir, and other enterprise platforms to support business operations, supply chain visibility, program performance, and ...

Design, write, test, and maintain scripts (such as Python) to automate repetitive data extraction, transformation, loading (ETL), and archiving processes * Write SQL queries to profile data, perform ...

Senior Data Analyst

Huntsville, AL · On-site

$90 - $130/hr

Perform complex data extraction, cleaning, transformation, and validation across massive, disparate Army logistics and enterprise data sources. * Apply statistical techniques, regression analysis ...

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

Perform complex data extraction, cleaning, transformation, and validation across massive, disparate Army logistics and enterprise data sources. * Apply statistical techniques, regression analysis ...

... data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. • Proficiency in statistical analysis and hypothesis ...

Data Manager (5441)

Huntsville, AL · On-site

$65K - $80K/yr

Design, write, test, and maintain scripts (such as Python) to automate repetitive data extraction, transformation, loading (ETL), and archiving processes * Write SQL queries to profile data, perform ...

Script Development & Testing • Write, optimize, and maintain SQL Server scripts for data extraction, transformation, and loading (ETL). • Experience with cross-platform data manipulation ...

next page

Showing results 1-20

Data Extraction information

See Alabama salary details

$9

$23

$58

How much do data extraction jobs pay per hour?

As of Aug 27, 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 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 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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $49,569 per year, or $23.8 per hour.

Data Analytics Analyst 1

Mindlance

Birmingham, AL • On-site

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Mindlance is a company seeking a Data Analytics Analyst 1 to join their team. The role involves using tools like Python, R, and SQL for data analysis, as well as performing data integration and statistical analysis to derive insights from data.
Responsibilities:
• Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively.
• Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis.
• Proficiency in statistical analysis and hypothesis testing to draw meaningful conclusions from data, as well as the ability to apply machine learning techniques for predictive modeling.
Qualifications:
Required:
• 1-3 Years
• Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively.
• Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis.
• Proficiency in statistical analysis and hypothesis testing to draw meaningful conclusions from data.
• Ability to apply machine learning techniques for predictive modeling.
Company:
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999, the company is headquartered in Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Mindlance logo

About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999