| Competitor / Benchmark | Avg. Salary | Variance | Primary Market Influence Factor & Explanation |
|---|---|---|---|
| Syndicate Labs Corp | $99,932 |
+9.9%
|
Data suggests Syndicate Labs Corp's workforce skews heavily towards veteran, high-tenure roles. |
| Equipan Corp | $89,310 |
-1.8%
|
Aligns perfectly with prevailing regional benchmarks for this specific job family. |
| Chart One Inc | $98,065 |
+7.9%
|
Influenced by prevailing union wage agreements specific to Chart One Inc's sector. |
| eCairn Inc | $112,832 |
+24.1%
|
Reflects a supply-demand imbalance for the specific talent eCairn Inc targets. |
| Software & Networking Industry | $126,859 |
+39.5%
|
Pay variances are driven by organizational scale, specialized skill requirements, or geographic cost-of-living factors. |
$99,932 / year
Salary Range: $88,052 - $112,745
San Diego, CA
$89,310 / year
Salary Range: $78,687 - $100,758
Doral, FL
$98,065 / year
Salary Range: $86,394 - $110,672
Jessup, MD
$112,832 / year
Salary Range: $99,424 - $127,292
San Francisco, CA
$87,327 / year
Salary Range: $76,946 - $98,515
Gardendale, AL
$109,868 / year
Salary Range: $96,804 - $123,951
New York City, NY
$83,994 / year
Salary Range: $73,986 - $94,795
Flowood, MS
$89,394 / year
Salary Range: $78,770 - $100,844
Marietta, GA
$90,428 / year
Salary Range: $79,677 - $102,014
Sugar Hill, GA
Get an estimated calculation of how much you should be earning and insight into your career options.
| Expense Category | Estimated Monthly Cost | Key Considerations / Notes |
|---|---|---|
| Housing (1-BR Apt Rent) | $1,500 - $2,300+ | A significant portion of Data Blocks salary. Location choices impact this heavily. |
| Utilities (Basic) | $150 - $250 | Electricity, Heating, Cooling, Water etc. |
| Public Transportation | $95 (MARTA monthly pass) | Essential for most commuters; car ownership is costly. |
| Groceries (Single Person) | $420 - $620 | Can be higher with more dining out or specialty stores. |
| Personal & Leisure | $400 - $750+ | Dining out, entertainment, shopping. Highly variable. |
| Healthcare (Individual) | $380 - $700+ | Varies significantly by plan & employer contribution. |
| Subtotal (Excluding Taxes) | $2,945 - $4,625+ | This subtotal does not include income taxes (federal, state, local), which can significantly impact your take-home pay. |
Data Blocks pays its employees an average of $90,924 per year. The average salary at Data Blocks range from $80,117 to $102,575 per year. 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.
The salary at Data Blocks is lesser than the similar company. The average annual salary at Data Blocks is $90,924, or an hourly wage of $44, in comparison to Syndicate Labs Corp which pays $99,932 per year or $48 per hour.
In many roles at Data Blocks, particularly those requiring specialized knowledge or research capabilities (e.g., certain engineering, scientific, or financial roles), an advanced degree like a Master's or PhD can lead to a higher starting salary and faster career progression, thus higher earnings. However, for some roles, direct experience and skills might be valued as much or more than an advanced degree. The impact varies by field and specific job requirements.
Atlanta's Cost of Living Index is approximately 105.0 (5.0% more expensive than US average; 12.9% more than GA average). This significantly impacts the purchasing power of a salary from Data Blocks based there. Our "Cost of Living Insights for Atlanta" module details this impact, helping you assess the 'real feel' value of your compensation.
Data Blocks generally offers a range of employee benefits designed to support their workforce's health, financial well-being, and work-life balance. Comprehensive health insurance (medical, dental, vision), a 401(k) retirement savings plan (often with a company match), paid time off (PTO), and potentially disability and life insurance are included. For a more detailed list of benefits, please see our "Employee Benefits at Data Blocks" section on this page.
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