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Data Engineer Salary at Pingahla Inc BETA

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How much does a Pingahla Inc Data Engineer make?

Paid Annually Paid Monthly Paid Semimonthly Paid Biweekly Paid Weekly Paid Hourly
25% $125,198 10% $113,680 90% $158,026 75% $148,449 $137,925 50%(Median)
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As of August 2026, the average salary for Data Engineer at Pingahla Inc in the United States is $137,925 per year, which is equivalent to an hourly rate of approximately $66. Most salaries for this position fall within the range of $125,198 to $148,449 annually.

The exact salary offered will depend on factors such as a candidate's years of experience, skills, department 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.

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How much does Pingahla Inc pay for other job roles?

View detailed salary information by job role at Pingahla Inc. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.

Key Skills & Their Impact on a Data Engineer at Pingahla Inc?

To succeed and maximize your earning potential as a Data Engineer at Pingahla Inc, 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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Data Engineer Career Path and Growth Opportunities

Understanding the career path for a Data Engineer can help you plan long-term professional growth. Below is a typical career progression for a Data Engineer, highlighting common next-step roles and opportunities for increased responsibility and compensation.

Base Salary $125,764
Total Compensation $142,190
Base Salary $144,416
Total Compensation $165,960
Base Salary $220,661
Total Compensation $338,833

Pingahla Inc Overview

Website
www.pingahla.com
Founded In
2018
Employees
25 - 50 employees
Industry
Software & Networking
Headquarter Address
57 W 57th St New York City New York NY 10019
Revenue
$10 Million - $50 Million
Phone Number
-
Social Media
About Pingahla Inc
Many organizations are finding it difficult to balance the need for volume and speed of the cloud with the cost of transformation and migration. Pingahla works with organizations in its data journey with an elaborate data strategy tailored to your unique business goals. Organizational IT and business processes require you to gather and retain data, yet data assets are increasingly large, complex,

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FAQ about Salary and Jobs at Pingahla Inc

FAQ 1: How much does Pingahla Inc pay per hour?
The average hourly pay is $66. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
FAQ 2: What is the highest salary at Pingahla Inc?
According to the data, the highest approximate salary is about $148,449 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
FAQ 3: What is the lowest pay at Pingahla Inc?
According to the data, the lowest estimated salary is about $125,198 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
FAQ 4: What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.

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