dataPlor Salary

How much does the dataPlor Pay for employees?

As of July 2026, the average annual salary for employees at dataPlor in the United States is $102,811. This translates to an approximate hourly wage of $49. Salaries at dataPlor typically range from $90,591 to $115,988 annually, reflecting the diverse roles and experience levels within the company. dataPlor’s salaries are influenced by a wide range of factors including job role, department, years of experience, and location.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

How Much Does dataPlor Pay for Different Roles?

Explore detailed salary information for specific jobs at dataPlor. The table below outlines the annual salary ranges for popular roles within the company, helping you benchmark potential earnings. Use 'View by Card/Table' option to find the data most relevant to your career path.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
How accurate does the salary look to you?

Current Job Openings at dataPlor

Ready for your next career move? Explore current job openings at dataPlor. Use the search tool below to find available positions by title and location and apply directly to start your career.

Is dataPlor’s Pay Competitive? Salary Benchmarking Analysis

How does dataPlor’s compensation stack up against the market? This analysis visualizes their annual average salary compared to its industry benchmark and key peer companies.
Peer Company & Industry Benchmarking
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Average Salary ($/year)
dataPlor
Software & Networking
StratusVue
Safetystratus Inc
Industry Comparison
Our data shows that, on average, compensation at dataPlor is below the average for the U.S. Software & Networking industry by approximately 19%. This positioning suggests their pay is below the market average within their sector.
Peer Company Comparison
To provide a broader market perspective, we compared dataPlor average annual salary with several similar companies. dataPlor average salary of $102,811 is higher than StratusVue, which has an average salary of $89,563. It is higher than Safetystratus Inc, with their average salary at $90,586. This places dataPlor in a competitive position among its peers.
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Employee Reviews: Working at dataPlor

Considering a career at dataPlor? Explore authentic employee reviews to learn about the work environment, career growth opportunities, pay transparency and benefits. These first-hand insights can help you set realistic compensation expectations and make informed career decisions.
While there aren’t many flashy perks, the job security and steady hours make it a dependable choice. Management is fair, and the benefits are standard for the industry. The company encourages internal promotions, and there’s transparency in career paths. Great leadership and clear communication make this company stand out.
Overall, it’s a reliable place to work if you’re looking for steady employment without major surprises. The leadership is inspiring, and the benefits are competitive. Coworkers are collaborative, and the overall atmosphere is positive. The company provides excellent training and development programs. Feels like a second home. My time here has been stable and predictable. The work is meaningful, an...
Colleagues are friendly and collaborative. Managers are approachable and encourage professional development. The company culture is welcoming, and employees are encouraged to share ideas. I appreciate the open communication from leadership.

dataPlor Overview

Website
www.dataplor.com
Founded In
2016
Employees
<25 employees
Industry
Software & Networking
Headquarter Address
2711 N Sepulveda Blvd Manhattan Beach California CA 90266
Revenue
<$5 Million
Phone Number
+1 4244333269
Social Media
About dataPlor
Based in Manhattan Beach, CA, dataPlor is a small business database for Latin America and Southeast Asia. The company offers POI data collection and validation solving for inaccuracies in emerging economies. dataPlor's services include, A.I. and human data verification, updated records and a data collection team operations.

What Benefits Does dataPlor Offer Beyond Salary?

A competitive compensation package is more than just a salary. dataPlor offers a comprehensive benefits package designed to support your health, financial future, and overall well-being. Below are the most common key benefits:
Social Security
401(K)
Disability
Healthcare
Pension
Time Off (days)
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How Much Should You Be Earning?

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What Is the Cost of Living Near Los Angeles?

Understanding the cost of living near Los Angeles is key to truly evaluating a salary offer or your current compensation at dataPlor.
Los Angeles' Cost of Living Index is approximately 173.3 (73.3% more expensive than US average; 23.9% more than CA average). Driven by extremely expensive housing, high transportation costs, and above-average goods/services. When planning your budget based on a salary from dataPlor, consider these typical monthly expenses:
Expense Category Estimated Monthly Cost Key Considerations / Notes
Housing (1-BR Apt Rent) $2,500 - $3,800+ A significant portion of dataPlor salary. Location choices impact this heavily.
Utilities (Basic) $150 - $250 Electricity, Heating, Cooling, Water etc.
Public Transportation $100 (Metro TAP card varies) Essential for most commuters; car ownership is costly.
Groceries (Single Person) $450 - $700 Can be higher with more dining out or specialty stores.
Personal & Leisure $500 - $1,000+ Dining out, entertainment, shopping. Highly variable.
Healthcare (Individual) $350 - $700+ Varies significantly by plan & employer contribution.
Subtotal (Excluding Taxes) $4,050 - $6,450+ This subtotal does not include income taxes (federal, state, local), which can significantly impact your take-home pay.

FAQs of dataPlor

1. What is the typical salary range (low to high) for most roles at dataPlor?

The typical annual salary range for most roles at dataPlor is approximately from $90,591 to $115,988. It's important to remember that these are overall averages, actual salaries vary significantly based on specific job titles, years of experience, skills, and location.

2. How much does dataPlor pay compared to StratusVue?

The average annual salary at dataPlor is $102,811, or an hourly wage of $49, in comparison to StratusVue which pays $89,563 per year or $43 per hour.

3. Do salaries differ significantly between departments at dataPlor?

Yes, salaries often differ between departments at dataPlor due to varying market demand for specific skill sets and the nature of the roles. For example, technical roles in Engineering or IT may command different salary ranges compared to roles in Marketing or Human Resources.

4. How does experience level affect salary at dataPlor?

Experience level is a significant factor in determining salary at dataPlor, as it is with most employers. Generally, employees with more years of relevant experience and a proven track record can command higher salaries. For example, a senior-level role will typically have a higher pay band than an entry-level or mid-career position within the same job family.

5. How can I determine if a salary offer from dataPlor in Los Angeles is fair given the local cost of living?

To determine if a salary offer from dataPlor in Los Angeles is fair, first compare the gross salary to our data for similar roles at dataPlor and its competitors (see our similar company salaries section) . Then, critically, use our "Cost of Living Insights for Los Angeles" to understand its purchasing power.

6. Why might an individual's actual salary at dataPlor differ from the ranges shown here?

An individual's actual salary at dataPlor can differ from our estimated ranges due to various factors. These include their specific years of experience in the role, unique skills or certifications, educational background, performance record, the specific team or department they join, negotiation outcomes, and even the precise timing of when they were hired relative to market fluctuations. Our ranges represent typical compensation.