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Data Extraction Jobs in Alabama (NOW HIRING)

Data Engineer IV

Birmingham, AL · On-site

$107K - $128K/yr

Create, maintain, and optimize scalable data pipelines that effectively handle the extraction of raw data from various sources, its transformation into a consistent format, and its loading into ...

Data Engineer III

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 ...

Senior Data Architect

Redstone Arsenal, AL · On-site

$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 ...

Senior Data Architect

Redstone Arsenal, AL · On-site

$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 ...

... load (ETL) data for analysis and reporting • Perform analysis of source documentation and real property databases to identify critical facilities at DoD Installations • Develop and manage ...

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

Tuscaloosa, AL · On-site

$102K - $123K/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 Jun 22, 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.

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 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 June 2026, with employment types broken down into 3% As Needed, 47% Full Time, 42% Part Time, and 8% 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 Engineer IV

$107K - $128K/yr

Full-time

Medical, Retirement, PTO

Posted 23 hours ago


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Job description

SUMMARY:
The Data Engineer IV performs complex data operations focusing on transformation and quality include designing and building data pipelines for ETL (Extract, Transform, Load) processes, cleaning and transforming raw data into a usable format, implementing data validation and quality checks to ensure accuracy and reliability, optimizing data storage and retrieval for performance, and collaborating with data scientists to ensure data readiness for analytics and machine learning.
You must be eligible to work in the US without Visa Sponsorship.
JOB DUTIES
  • Design and Build Pipelines:Create, maintain, and optimize scalable data pipelines that effectively handle the extraction of raw data from various sources, its transformation into a consistent format, and its loading into destinations for analysis and reporting.
  • Develop Transformation Logic:Implement algorithms and logic to clean, standardize, and transform data into a consistent and actionable format, preparing it for downstream use.
  • Integrate Data:Combine raw information from diverse sources to create unified, comprehensive datasets for analytical purposes.
  • Implement Quality Checks:Design and implement robust data validation processes, data quality checks, and error handling procedures to guarantee the accuracy, completeness, and reliability of datasets.
  • Ensure Consistency:Work to maintain data consistency across various systems and ensure the data is reliable for business decision-making.
  • Optimize Data Infrastructure:Develop and manage data architecture, including databases and data warehouses, to ensure efficient storage, quick retrieval, and accessibility of data.
  • Collaborate with Stakeholders:Partner closely with data scientists, analysts, and other teams to understand their data requirements and deliver high-quality, ready-to-use datasets for their projects.
  • Performance Tuning:Optimize database and query performance through fine-tuning, indexing, and other strategies to ensure data processing and retrieval are fast and resource-efficient.
  • Manages critical projects, customer engagements or business processes and advises junior team members.
  • Responsible for mentoring developers with code reviews, design reviews and unit test plan reviews.
  • Performs other duties as assigned.
EDUCATION & EXPERIENCE
  • Typically requires a bachelor's degree in computer science, software engineering, or a related field and eight (8) or more years of related experience; or an equivalent combination.
KNOWLEDGE, SKILLS, ABILITIES
  • Cloud data engineering experience (Google Cloud Platform, AWS, Azure or similar)
  • SQL
  • Python
  • AI/ML
  • Ability to automate and operationalize machine learning workflows.
  • Applies knowledge to analyze and develop solutions to highly complex problems.
  • Develops and maintains a thorough knowledge of key business processes, current and future requirements, and key success factors.
  • Thorough understanding of key business drivers and ability to communicate and translate those needs to technical solutions.
  • Ability to collaborate effectively with senior management.
LICENSES & CERTIFICATIONS:
SUPERVISORY RESPONSIBILITY:
BUDGET RESPONSIBILITY:
COMPANY INFORMATION:
Motion offers an excellent benefits package which includes options for healthcare coverage,
401(k), tuition reimbursement, vacation, sick, and holiday pay.
DISCLAIMER: This job description illustrates the general nature and level of work performed by employees within this job classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and skills required. Management retains the right to add or modify duties at any time.

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GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.


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