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Remote Data Extraction Jobs in Dallas, TX (NOW HIRING)

Remote Data Analyst

Dallas, TX · On-site +1

$50K - $63K/yr

... ETL processes is a plus We Offer: - Competitive salary and benefits package - Opportunities for growth and development within a fast-growing company - A dynamic and collaborative work environment ...

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term ... Monitor, manage, validate and test data extraction, movement, transformation, loading ...

Data Scientist

Dallas, TX · On-site +1

Proficiency writing and interpreting SQL queries for data extraction and analysis * Solid ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Sr. Data Engineer (Remote)

Dallas, TX · On-site +1

$150K - $175K/yr

Design and manage Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to ... Implement data testing, anomaly detection, and validation checks to ensure high data integrity

Sr. Data Engineer (Remote)

Dallas, TX · Remote

$150K - $175K/yr

Design and manage Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to ... Implement data testing, anomaly detection, and validation checks to ensure high data integrity

Remote Position Summary 4Consulting, Inc is seeking a qualified Data Scientists to support ... Develop and maintain data science applications, ETL processes, and reporting solutions using modern ...

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Database Developer

Irving, TX · Remote

$53K - $122K/yr

Location This is a remote position. About the job you're considering Capgemini is looking for a ... Management of the data extractions from the SAGE Datawarehouse cubes (this requires ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note ... Strong ETL using SSIS and PySpark * Databricks * Must have Azure (Azure Data Factory, Azure Synapse ...

Data Engineer

Irving, TX · Remote

$117K - $140K/yr

Data Engineer Experience: -7 +Years Location: - Remote As a Data Engineer you will be a part of an ... experience building ETL and Data Integration pipelines in Python, PySpark and knowledge of ...

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Remote Data Extraction information

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 jobs pay 4000 a week without a degree?

Remote data extraction roles can pay around $4,000 per week for experienced professionals, especially those skilled in data scraping, automation tools, and programming languages like Python or SQL. These positions often require strong technical skills, self-motivation, and the ability to work independently, with some roles offering high pay based on project complexity and volume.

How to make $1000 a week remotely?

Remote data extraction jobs can pay between $10 and $25 per hour, so earning $1000 weekly typically requires working 40 to 50 hours. Developing strong data handling skills, familiarity with tools like Excel or data scraping software, and maintaining consistent productivity can help achieve this income level. Building a reliable client base or working through reputable platforms can also increase earning potential.

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, and why are they important?

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.

How to become a data extractor?

To become a remote data extractor, you should develop skills in data collection, cleaning, and analysis, often using tools like Excel, SQL, or web scraping software. Relevant experience, attention to detail, and the ability to work independently are important, and some roles may require basic knowledge of programming languages such as Python or JavaScript.

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.

Is 40 too late for data science?

Age is not a strict barrier for a remote data extraction or data science role; many professionals transition into the field later in life. Success depends on skills, experience, and continuous learning of tools like Python, SQL, and machine learning concepts, regardless of age.
What are the most commonly searched types of Data Extraction jobs in Dallas, TX? The most popular types of Data Extraction jobs in Dallas, TX are:
What job categories do people searching Remote Data Extraction jobs in Dallas, TX look for? The top searched job categories for Remote Data Extraction jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Data Extraction jobs? Cities near Dallas, TX with the most Remote Data Extraction job openings:
Infographic showing various Remote Data Extraction job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Remote Data Analyst

Jill Frisch

Dallas, TX • On-site, Remote

$50K - $63K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Company Overview:

Jill Frisch & Freeze Minimart, where unparalleled convenience meets exceptional quality. We have been at the forefront of the retail industry, steadfastly serving a diverse and growing global community. Our odyssey commenced with a visionary mission: to craft an all-encompassing shopping sanctuary meticulously tailored to the evolving desires of our customers.

Through relentless dedication and an unwavering commitment to innovation, we have burgeoned into an eminent enterprise, revered as the quintessential haven for an extensive array of fresh produce, gourmet delicacies, household staples, and beyond. Our zeal for excellence is perpetual; we are devoted to incessantly broadening our assortment of premium products and elevating the customer experience to unprecedented heights.

As a family-founded enterprise, we cherish the deep-rooted connections we've cultivated with our esteemed patrons. It is with immense pride that we continue to nurture these bonds, ensuring that Jill Frisch & Freeze Minimart remains eminent emporium for all shopping endeavors.

As we continue to expand, we are looking for a talented Data Analyst to join our team and help us make data-driven decisions for our business.

Position Overview:

As a Data Analyst at Jill Frisch & Freeze MiniMart, you will be responsible for collecting, analyzing, and interpreting data to help us make informed decisions. You will work closely with our management team to identify areas of improvement and provide actionable insights to drive business growth.

Key Responsibilities:

- Collect, organize, and analyze large sets of data from various sources, including sales, inventory, and customer data

- Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide insights to the management team

- Identify trends and patterns in data to inform business strategies and decision-making

- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions

- Develop and implement data quality control processes to ensure accuracy and consistency of data

- Stay updated on industry trends and best practices in data analysis to continuously improve processes and methodologies

Qualifications:

- Bachelor's degree in Data Analytics, Statistics, Mathematics, or a related field

- 2+ years of experience in data analysis, preferably in a retail or consumer goods industry

- Proficient in SQL and data visualization tools such as Tableau or Power BI

- Strong analytical and problem-solving skills with a keen attention to detail

- Ability to communicate complex data insights in a clear and concise manner

- Experience with statistical analysis and predictive modeling is a plus

- Familiarity with data management and ETL processes is a plus

We Offer:

- Competitive salary and benefits package

- Opportunities for growth and development within a fast-growing company

- A dynamic and collaborative work environment

- The chance to make a significant impact on the business through data-driven decision-making

If you are a highly analytical and detail-oriented individual with a passion for data, we would love to hear from you. Join our team at Jill Frisch & Freeze MiniMart and help us drive our business forward through data analysis.

Minimum Education:

  • Bachelor's degree in Analytics, Statistics, Mathematics,
    Economics, Finance, Computer Science or a related quantitative
    discipline and/or business or an equivalent combination of education and
    experience.

Minimum experience:

  • Two or more years of hands-on data wrangling, reporting, analytics, and data programming

Notice: This position is solely for US Citizens!!!

Job Type: Full-time, Part-time

What we offer:

Compensation: Jill Frisch & Freeze Minimart has an effective process for assessing
market data and establishing ranges to ensure we remain competitive. You
are paid within the salary range based on your experience and market
data of the position. The actual salary for this role may vary by
location. The salary range for this position is: $50,000.00 - $63,000.00

Employees may be eligible for pay incentives based on overall
corporate and individual performance and at the discretion of our Board.

Benefits: Here, our employees enjoy best-in-class benefits
to support their physical, financial, and emotional wellness. These
benefits include comprehensive medical, dental and vision plans, 401(k),
pension, life insurance, parental benefits, adoption assistance, paid
time off program with paid holidays plus 16 paid volunteer hours, and
various wellness programs. Additionally, our career path planning and
continuing education assists employees with their professional goals.

Work Remotely: Yes

Work Location: Remote