2

Remote Data Extraction Jobs in Louisiana (NOW HIRING)

Actuarial Data Engineer

Iowa, LA · On-site +1

$91K - $130K/yr

Experience with modern data warehousing and ETL tools * Strong problem-solving skills and attention ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

... extract actionable insights, shape data foundations, and foster a datadriven culture. Your Work ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Industrial and agribusiness projects range from grain storage, milling and seed oil extraction ... data, geographic location, experience, and specialized skills. Benefits: Health, dental, vision ...

Industrial and agribusiness projects range from grain storage, milling and seed oil extraction ... data, geographic location, experience, and specialized skills. Benefits: Health, dental, vision ...

Software Engineer II

New Orleans, LA · On-site +1

$95K - $105K/yr

Develop real time data pipelines and solve big data problems utilizing modern technologies like ... Develop and manage end-to-end ETL pipelines for both real-time and batch processing, ensuring the ...

Software Engineer II

New Orleans, LA · On-site +1

$95K - $105K/yr

Develop real time data pipelines and solve big data problems utilizing modern technologies like ... Develop and manage end-to-end ETL pipelines for both real-time and batch processing, ensuring the ...

Remote Data Extraction information

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

What are the key skills and qualifications needed to thrive as a remote data extraction specialist?

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What is the difference between Remote Data Extraction vs Remote Data Entry?

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

What are the most commonly searched types of Data Extraction jobs in Louisiana?

The most popular types of Data Extraction jobs in Louisiana are:

What are popular job titles related to Remote Data Extraction jobs in Louisiana?

For Remote Data Extraction jobs in Louisiana, the most frequently searched job titles are:

What cities in Louisiana are hiring for Remote Data Extraction jobs?

Cities in Louisiana with the most Remote Data Extraction job openings:

Infographic showing various Remote Data Extraction job openings in Louisiana as of August 2026, with employment types broken down into 59% Full Time, 23% Part Time, and 18% Contract. Highlights an 100% Remote job distribution.

Data Architect (SR-5273715-ARCH)

LMG Technology Services LLC

Baton Rouge, LA • Remote

$61.25 - $78.75/hr

Full-time

Re-posted 16 days ago


Job description

Remote - United States

I.  DESCRIPTION OF SERVICES

The scope of the proposed services will include the following:

  • Design the vision and blueprint of an organization's data framework.
  • Design and manage data systems, set policies for how data is stored and accessed, coordinate various data sources within an organization, and integrate new data technologies into existing IT infrastructures.
  • Data modeling and design, including software development and database administration. 

II.  CANDIDATE SKILLS AND QUALIFICATIONS

Years

Required/Preferred

Experience

10

Required

Professional experience in data ecosystems writing SQL queries, building ETL pipelines, and designing data architecture.

N/A

Preferred

Bachelor's degree in Computer Science, Computer Engineering, Data Science, Management Information Systems, or Information Technology.

2

Preferred

Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of Health) to modernize legacy data infrastructures.

Note: Expected Start Date 07/01/2026 and Expected End Date 06/30/2027. May not be extended beyond June 30, 2029.

Hours worked should be within the State's core hours of 7:00 AM CT to 6:00 PM CT. In addition, Contractor personnel may be required to work on State holidays, weekends and hours outside of the State's core business hours in order to meet critical deadlines.