Lead Data Engineer Salary at Pandata Llc BETA

How much does a Pandata Llc Lead Data Engineer make?

As of April 2025, the average annual salary for a Lead Data Engineer at Pandata Llc is $125,983, which translates to approximately $61 per hour. Salaries for Lead Data Engineer at Pandata Llc typically range from $115,750 to $135,137, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

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.

Pandata LLC Overview

Website:
pandata.co
Size:
<25 Employees
Revenue:
<$5M
Industry:
Business Services

Pandata Tech is a Houston-based data analytics company that specializes in data quality solutions for heavy industry. We've developed a data quality platform that uses machine learning (ML) and artificial intelligence (AI) to make digital maintenance, optimization, and automation more reliable. Our solution reduces false positives, false negatives, and time spent cleaning and validating data. Pandata's data quality checks reduce the amount of time it takes to clean data by at least 50%. This translates into data driven solutions that are cost saving, increase productivity, and increase team collaboration.

See similar companies related to Pandata Llc

What Skills Does a person Need at Pandata Llc?

At Pandata Llc, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  2. 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).
  3. Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
  4. Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
  5. Tableau: Using business intelligence software to perform data analysis, data visualization, and the BI process of an organization.

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Check more jobs information at Pandata Llc

Job Title Average Pandata Llc Salary Hourly Rate
2 Data Scientist $95,793 $46
3 Data Consultant $0 $0
4 Manager, Operations $93,719 $45
5 Junior Data Engineer $61,376 $30
6 President $681,049 $327
7 Director, Partnerships $172,144 $83
8 Finance and Accounting $64,094 $31
9 Machine Learning Specialist $0 $0
10 Expert Informatique $0 $0
11 Data Science Consultant $127,140 $61
12 Chief Operating Officer & Partner $0 $0
13 Data Scientist II $76,611 $37

Hourly Pay at Pandata Llc

The average hourly pay at Pandata Llc for a Lead Data Engineer is $61 per hour. The location, department, and job description all have an impact on the typical compensation for Pandata Llc positions. The pay range and total remuneration for the job title are shown in the table below. Pandata Llc may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $125,983 look to you?

FAQ about Salary and Jobs at Pandata Llc

1. How much does Pandata Llc pay per hour?
The average hourly pay is $61. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Pandata Llc?
According to the data, the highest approximate salary is about $135,137 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Pandata Llc?
According to the data, the lowest estimated salary is about $115,750 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
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.