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Data Extraction Jobs in Mississippi (NOW HIRING)

mTrade

Data Developer

Oxford, MS

Data Migration and ETL: Responsible for data migration between different systems or integrating data from various sources into the SQL Server database using Extract, Transform, Load (ETL) processes.

mTrade

Data Developer

Oxford, MS · On-site

Data Migration and ETL: Responsible for data migration between different systems or integrating data from various sources into the SQL Server database using Extract, Transform, Load (ETL) processes.

Hancock Whitney Bank

Data Architect 2

Whitney, MS · On-site

$59.25 - $76.25/hr

Contributes to the data warehouse development lifecycle (requirements gathering, ETL, database design & development, testing & validation). * Designs and builds data structures to support analysis ...

Bespoke Labs

Data Engineer

Biloxi, MS · On-site

$101K - $122K/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 ...

Bespoke Labs

Data Engineer

Tupelo, MS · On-site

$109K - $130K/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 ...

Bespoke Labs

Data Engineer

Jackson, MS · On-site

$99K - $119K/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 ...

Bespoke Labs

Data Engineer

Gulfport, MS · 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 ...

Bespoke Labs

Data Engineer

Southaven, MS · On-site

$104K - $125K/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 ...

Bespoke Labs

Data Engineer

Hattiesburg, MS · On-site

$96K - $115K/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 ...

Bespoke Labs

Data Engineer

Meridian, MS · On-site

$112K - $134K/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

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$24

$60

How much do data extraction jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data extraction in Mississippi is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $13.11 and $27.06 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 the most commonly searched types of Data Extraction jobs in Mississippi? The most popular types of Data Extraction jobs in Mississippi are:
What are popular job titles related to Data Extraction jobs in Mississippi? For Data Extraction jobs in Mississippi, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in Mississippi look for? The top searched job categories for Data Extraction jobs in Mississippi are:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Mississippi as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $50,756 per year, or $24.4 per hour.
Research Data Specialist

Research Data Specialist

University of Mississippi

Oxford, MS

$75K - $113K/yr

Full-time

Posted 17 days ago

University Of Mississippi rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

204th of 612 rated colleges and universities

Job description

The University of Mississippi - fondly referred to as Ole Miss - stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member - student, faculty, and staff - can achieve their fullest potential.

Join the Ole Miss Family - Build Your Legacy Here!

Department:

Office for Research & Econ Development (ORED) empowers University of Mississippi research that advances knowledge, addresses social challenges, and propels economic growth locally and nationally. We support researchers and creative scholars, foster collaboration, and facilitate the translation of innovation into progress. As our legacy home-grown information system comes to the end of its life, we have licensed and are implementing Cayuse, a state-of-the art, cloud-based enterprise system to manage the increasingly complex landscape of research compliance and grant administration. At the same time, UM is in the process of migrating the HR and payroll enterprise to Workday, the student information system to Ellucian Banner, and the faculty activity reporting system to Watermark Faculty Success. A central data warehouse and analytics and reporting tool called Insights will also be implemented to bring in data from these and other campus systems to enable faster insights and more informed decisions-making campus wide. Meanwhile, the federal research funding environment is rapidly changing, creating new challenges and opportunities for responding to new priorities, competing for grants, and thriving in a shifting regulatory environment.

Job Summary:

The Office for Research and Economic Development (ORED) at the University of Mississippi is seeking an experienced data and systems professional who is interested in applying technical expertise to support a growing research enterprise. Working alongside research administrators, this position will design, develop, and maintain data solutions that improve institutional decision-making and strengthen research administration. Initially, the position will focus on supporting the implementation of Cayuse, including system configuration, data management, reporting, technical support, integration with Workday, and migration of legacy research administration data into the University's enterprise data environment. As these systems mature, the position will expand to developing institutional datasets, dashboards, reports, predictive models, and other analytical tools that help leadership monitor research performance, identify opportunities, improve operational effectiveness, strengthen regulatory compliance, and support strategic investment in research.

Job Description:

Examples of Work Performed:

  • Data Engineering: Develop Extract-Transform-Load (ETL) scripts to extract data or clean data, automate tasks, supports business processes
  • Liaise with vendors and central IT professionals to identify, propose, develop, and test integrations across enterprise systems
  • Develop data dashboards and reports for ORED leaders and campus research stakeholders Communicate with research administration subject matter experts to define business needs and propose data-driven solutions
  • Interact with technical experts to identify and implement cross-system integrations (e.g., moving data from Cayuse to Workday and vice versa)
  • Collaborate across institutional units to leverage data resources and subject matter expertise in support of analytical and reporting needs
  • Use data extraction tools (SQL/NoSQL/Python) to develop queries to answer research and analysis questions
  • Develop and implement data solutions and analyses to help leaders and stakeholders understand, comply with, and thrive under the large, evolving, and complex federal rules and regulations related to grants and contracts.

Job Responsibilities:

Bachelor's degree-preferably in Data Science, Computer Science, Information Systems, or a related discipline. If the candidate holds a bachelor's in an unrelated field but has substantial experience in related roles, they are encouraged to apply and should explain their qualifications and expertise as it relates to this position in their cover letter.


Applicants should submit a resume and a brief narrative (no more than two pages) describing the following:

  • A complex data, systems, or reporting challenge you personally helped solve, including your specific role, the technologies you used, and the outcome.
  • Why this position at the University of Mississippi interests you and how your experience would contribute to advancing the University's research enterprise.

The strongest applications will demonstrate thoughtful analysis, technical depth, and an understanding of how data can be used to improve organizational decision-making.

Education Qualifications:

Bachelor's (Required)

Experience:

Relevant experience| 6 Years| Required

Compensation:

$75,545.60 - $113,318.40

Interview Requirement:

Interview Requirements: Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

EEO Statement:

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.

Background Check Statement:

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

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