As of June 2026, the average salary for Database Developer at Dataquick in the United States is $130,020 per year, which is equivalent to an hourly rate of approximately $63. Most salaries for this position fall within the range of $117,664 to $140,436 annually.
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.
View detailed salary information by job role at DataQuick. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$257,116 / year
Salary Range: $231,241 - $288,353
IT Vendor Relationships
$254,855 / year
Salary Range: $216,645 - $292,955
Finance
$217,904 / year
Salary Range: $187,137 - $249,871
Government Affairs
$200,749 / year
Salary Range: $174,498 - $238,796
Telecommunications
$193,001 / year
Salary Range: $184,458 - $200,263
Operations
$154,539 / year
Salary Range: $144,828 - $173,191
Operations
$147,257 / year
Salary Range: $129,706 - $170,639
Real Estate and Land Management
$127,827 / year
Salary Range: $110,904 - $146,864
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$125,431 / year
Salary Range: $114,442 - $134,988
Information Technology
$125,431 / year
Salary Range: $114,442 - $134,988
Information Technology
$125,431 / year
Salary Range: $114,442 - $134,988
Information Technology
To succeed and maximize your earning potential as a Database Developer at Dataquick, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| SQL | Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). | |
| Python | Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements. | |
| Data engineering | ||
| AWS |
Amazon Web Services, Inc.
|
|
| Big Data |
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.
|
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