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Data Extraction Jobs in Alabama (NOW HIRING)

Eng II, Data

Birmingham, AL · On-site

$107K - $128K/yr

This role is a primary contributor and designer of the overall Spire data warehouse, data ETL processes and analytics data model and architecture. This role is also responsible for the delivery of ...

Eng II, Data

Birmingham, AL

$107K - $128K/yr

This role is a primary contributor and designer of the overall Spire data warehouse, data ETL processes and analytics data model and architecture. This role is also responsible for the delivery of ...

Data Analytics Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power ... The ideal candidate has strong technical skills, a background in ETL, SQL, and visualization , and ...

Data Engineer

Birmingham, AL

$107K - $128K/yr

Strong understanding of data modeling , ETL processes , and data warehousing . * Excellent problem-solving skills and attention to detail . * Strong communication and collaboration skills, with the ...

Programmer

Huntsville, AL · On-site

$60K - $65K/yr

... data extraction techniques. • Excellent problem-solving and analytical skills. • Attention to detail and accuracy. • Strong communication and interpersonal skills. TSI offers a competitive ...

Data Engineer

Huntsville, AL · On-site

$113K - $136K/yr

Responsibilities : • Design and develop scalable data pipelines and ETL processes. • Build and maintain data architectures optimized for analytics and transactional workloads. • Manage data ...

Responsible for planning tests to meet statistical requirements, developing Extract, Transform, Load (ETL) pipelines for data, and performing statistical analysis of test data * Responsible for ...

Responsible for planning tests to meet statistical requirements, developing Extract, Transform, Load (ETL) pipelines for data, and performing statistical analysis of test data Responsible for leading ...

Data Engineer

Dothan, AL · On-site

$90K - $125K/yr

Load/Extract, Load, Transform pipelines for both batch and real-time data processing. Solid understanding of data warehousing concepts, ETL processes, and data modeling techniques. Utilize data ...

Data Engineer

Homewood, AL

$107K - $128K/yr

Extract, transform, and load (ETL) data from healthcare systems including EMR, revenue cycle, scheduling, and financial systems * Ensure accurate mapping of clinical and financial data elements such ...

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Understand ETL/ELT processes, data warehouse/lake/lakehouse architectures, and data modeling principles. * Cloud & Modern Data Stack: Experience with cloud platforms (AWS, GCP, Azure), modern data ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

The Data Engineer will develop and maintain ETL processes, ensuring accurate and accessible financial data while collaborating with various stakeholders to enhance reporting efficiency and support ...

Data Warehouse Developer

Huntsville, AL · On-site

$48.50 - $66.50/hr

Build scalable ELT/ETL processes for integrating data from various enterprise applications and source systems * Develop and maintain dimensional and relational data models to support analytics and ...

Data Warehouse Developer

Huntsville, AL · On-site

$46 - $63/hr

Build scalable ELT/ETL processes for integrating data from various enterprise applications and source systems * Develop and maintain dimensional and relational data models to support analytics and ...

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and implement data security practices. Responsibilities - Design and implement thorough data architecture ...

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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 14, 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.

Human Resources Data Analyst

Books A Million Holding Company

Birmingham, AL • On-site, Remote

Full-time

Posted 6 days ago


Job description

Job Description: HR Data Analyst
Job Title: HR Data Analyst
Location: Birmingham, AL (This role can be performed remotely, with strong preference given to local Birmingham area candidates or those residing within a 2 to 3 hour drive from our home office.)
Position Type: Full-time
About Books-A-Million:
As one of the nation's leading book retailers, headquartered in Birmingham, Alabama, Books-A-Million is investing in data and analytics to drive smarter, faster decisions across the business. Our Human Resources team is building a single, trusted source of workforce intelligence, anchored in our Infor HRIS, to give leaders clear visibility into talent, retention, and organizational health. We are seeking a talented and detail-oriented HR Data Analyst to join our People & Analytics team and help turn HR data into reliable, actionable insight.
Job Summary:
The HR Data Analyst is responsible for transforming HR and workforce data into accurate, consistent, and decision-ready reporting. You will build and maintain dashboards, define standardized metric calculations, and partner with HR leaders to answer critical questions about turnover, talent acquisition, internal mobility, compensation, and benefits. This role reports to the SVP of Data & Analytics and supports a regular cadence of weekly, monthly, quarterly, and annual workforce reporting. The ideal candidate combines strong SQL skills, hands-on dashboard development in Power BI or Tableau, and a genuine commitment to clean, trustworthy data.
Key Responsibilities:
• Build, maintain, and continually improve HR dashboards and reports, segmented by location, role, and manager, using a modern data visualization tool such as Power BI or Tableau.
• Extract, transform, and analyze workforce data, ensuring it serves as a clean, reliable single source of truth for all downstream HR reporting.
• Develop and document standardized definitions and formulas for key HR metrics such as time-to-fill, turnover, internal mobility, and compa-ratio, so reporting is consistent and comparable across teams.
• Produce turnover and retention analytics, including voluntary vs. involuntary separations, tenure at exit, and regrettable-loss tracking, and support predictive flight-risk and workforce-forecasting models.
• Deliver talent acquisition reporting such as pipeline status, applications, source of hire, offer acceptance, cost per hire, quality of hire, and time-to-fill, to support recruiting and open requisitions.
• Track promotion and internal mobility rates, succession-pipeline health, and learning and training participation to inform strategic workforce planning.
• Report on compensation and benefits metrics, such as benefits enrollment and participation, and (in future phases) compa-ratio, salary-band, and pay-equity analysis.
• Support quarterly data-accuracy audits and compliance reporting, partnering with HR Operations and IT to identify and resolve data-quality issues at the source.
• Prepare recurring deliverables on a defined cadence, including the weekly Staff Book, monthly workforce snapshots, quarterly data audits, and the annual strategic workforce review.
• Consolidate reporting from multiple systems (for example, HRIS and connected learning, benefits, and case-management platforms) into one reliable, consistent view for HR leadership.
• Champion a data-driven culture within HR by delivering clear visualizations, thorough documentation, and hands-on support to non-technical stakeholders.
Qualifications:
• Bachelor's degree in a quantitative or related field such as Data Analytics, Statistics, Information Systems, Human Resources, Business, or Economics, or equivalent practical experience.
• Proven experience as an HR Data Analyst, People Analytics Analyst, Business Intelligence Analyst, or in a similar data and reporting role.
• High proficiency in SQL for data extraction, transformation, and analysis (required).
• Hands-on experience building dashboards and reports in a major data visualization tool such as Power BI or Tableau (required).
• Experience working with an enterprise HRIS
• Strong command of MS Excel for ad-hoc analysis and data validation.
• Solid understanding of core HR metrics and concepts such as turnover, time-to-fill, compa-ratio, headcount, and internal mobility is strongly preferred.
• Experience with Python or other scripting languages for data preparation is a plus.
• Strong analytical and problem-solving skills, with the ability to translate complex data into clear, accurate, and actionable insights.
• Meticulous attention to data quality and a commitment to consistent, well-documented metric definitions.
• Excellent communication and interpersonal skills, with the ability to collaborate with both technical and non-technical stakeholders, and to handle sensitive HR data with discretion and confidentiality.
• A proactive and adaptable mindset, with a willingness to take on new challenges and responsibilities in a fast-paced environment.
• Experience in the retail industry is a strong plus.