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Remote Data Processing Jobs in Irving, TX (NOW HIRING)

TriOptus LLC

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110K - $132K/yr

... big data processing and analytics Proficient in Python for data manipulation and SQL for query optimization Experience building pipelines for real-time and batch model serving in production ...

Swoon Staffing

Refinery Data Engineer

Dallas, TX · Remote

$45 - $47.33/hr

REMOTE 8+ month contract for a Refinery Data Engineer role with a leading oil/energy client. APPLY ... Strong understanding of refinery process equipment and instrumentation including transmitters ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

Implement ETL/ELT processes using PySpark, Python, and Pandas to clean, transform, and integrate data from multiple sources into unified datasets. * Distributed Systems Expertise : Leverage ...

rockITdata

Full Stack Data Engineer

Arlington, TX · Remote

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and implement scalable data ingestion pipelines to efficiently collect and process data from various sources.

Mastech Digital

Microsoft Fabric Data Engineer

Dallas, TX · Remote

$70 - $90/hr

Dallas, TX (Remote) Salary: $70.00-$90.00/Hourly Role: Microsoft Fabric Data Engineer Primary ... data processing - Experience working with structured and semi-structured data - Strong problem ...

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All JobsData Processing JobsRemote Data Processing JobsRemote Data Processing Jobs in Irving, TX

Remote Data Processing information

See Irving, TX salary details

$11

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$33

How much do remote data processing jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for remote data processing in Irving, TX is $19.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $21.49 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

Remote data processing jobs can offer high earning potential, especially for experienced professionals who handle large datasets, use specialized tools, and meet project deadlines. To earn $2000 weekly, you may need to work multiple projects, develop strong skills in data analysis and processing, and possibly obtain relevant certifications. Consistent high-quality work and efficient time management are essential for reaching this income level remotely.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home or other remote locations. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with data management tools like spreadsheets or databases.

How to make $1000 a week remotely?

Remote data processing jobs can pay $1000 or more per week depending on experience, workload, and project complexity. To achieve this, professionals often work multiple projects, develop specialized skills in data analysis or automation, and utilize platforms that connect freelancers with clients. Consistent high-quality work and efficient time management are essential for reaching this income level.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What jobs pay 4000 a week without a degree?

Remote data processing roles can pay around $4,000 per week for experienced professionals, especially those with strong skills in data analysis, programming, or automation. These jobs often require proficiency in tools like Python, SQL, or cloud platforms and may involve freelance or contract work with flexible schedules. High earnings typically depend on expertise, project complexity, and workload volume.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a Remote Data Processing specialist, and why are they important?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
What are the most commonly searched types of Data Processing jobs in Irving, TX? The most popular types of Data Processing jobs in Irving, TX are:
What job categories do people searching Remote Data Processing jobs in Irving, TX look for? The top searched job categories for Remote Data Processing jobs in Irving, TX are:
What cities near Irving, TX are hiring for Remote Data Processing jobs? Cities near Irving, TX with the most Remote Data Processing job openings:
Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in Irving, TX as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,477 per year, or $19.5 per hour.

Remote Data Analyst

Jill Frisch

Dallas, TX • On-site, Remote

$50K - $63K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

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

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