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Data Extraction Jobs in Mississippi (NOW HIRING)

Extract and organize data to support reporting and analysis. * Ensure timely and accurate completion of bank reconciliations. * Develop models, analytics, and assumptions for the loan portfolio.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Data Extraction information

See Mississippi salary details

$9

$24

$60

How much do data extraction jobs pay per hour?

As of Aug 10, 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 extraction?

To become a data extraction specialist, develop skills in data analysis, 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 in this field.

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.

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 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:
Infographic showing various Data Extraction job openings in Mississippi as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $50,756 per year, or $24.4 per hour.

Financial Analyst

Kinetic Staffing

Flowood, MS

$70K - $80K/yr

Full-time

Re-posted 12 days ago


Job description

We are seeking candidates for an onsite Financial Analyst for a financial sector client in the Jackson metro area. This key team member will have an active role in financial reporting and analysis, month-end closing, ad hoc reporting, budgeting, forecasting and projections. 

Responsibilities:

  • Perform financial and operational analysis to support decision-making.
  • Compile monthly statistical and financial reports.
  • Manage the month-end close process.
  • Analyze budget-to-actual financial results monthly.
  • Prepare ad hoc reports and analysis as needed.
  • Extract and organize data to support reporting and analysis.
  • Ensure timely and accurate completion of bank reconciliations.
  • Develop models, analytics, and assumptions for the loan portfolio.
  • Prepare and support the annual budgeting process.
  • Improve processes for combining data across systems to support management reporting.
  • Communicate analysis results and key findings to leadership.
  • Collaborate with the accounting team to enhance use of operational metrics within the accounting system.

Requirements:

  • Bachelor’s degree in accounting, finance or related field required; master’s degree preferred.
  • CPA designation is a plus.
  • 1+ years of progressive experience in corporate or public accounting roles with a focus on financial reporting and technical accounting.
  • Advanced knowledge of and experience with Microsoft Excel.
  • General knowledge of and experience with data extraction tools.
  • Exceptional math and problem-solving skills.

Compensation:

  • $70,000 - $80,000, depending on experience.
  • Comprehensive benefits package.