Senior Data Engineer Salary at Think Big Analytics Inc BETA

How much does a Think Big Analytics Inc Senior Data Engineer make?

As of March 2025, the average annual salary for a Senior Data Engineer at Think Big Analytics Inc is $106,289, which translates to approximately $51 per hour. Salaries for Senior Data Engineer at Think Big Analytics Inc typically range from $93,716 to $119,601, 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.

Think Big Analytics Inc Overview

Website:
thinkbiganalytics.com
Size:
<25 Employees
Revenue:
<$5M
Industry:
Business Services

About Think Big Analytics: Think Big Analytics is purpose-built to enable customers to create value from Big Data. The company provides data science and engineering services to assemble custom applications that deliver business outcomes. Think Big collaborates with leaders to prioritize initiatives and generate value quickly with its proven "test and learn" methodology. The company was founded by former Quantcast and C-Bridge executives and is based in Mountain View, CA.

See similar companies related to Think Big Analytics Inc

What Skills Does a person Need at Think Big Analytics Inc?

At Think Big Analytics Inc, 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. AutoCAD: AutoCAD is a commercial computer-aided design and drafting software application. Developed and marketed by Autodesk, AutoCAD was first released in December 1982 as a desktop app running on microcomputers with internal graphics controllers.
  2. CAD: Computer-aided design is the use of computers to aid in the creation, modification, analysis, or optimization of a design. This software is used to increase the productivity of the designer
  3. Structural Engineering: Structural engineering is a sub-discipline of civil engineering in which structural engineers are trained to design the 'bones and muscles' that create the form and shape of man made structures. Structural engineers need to understand and calculate the stability, strength and rigidity of built structures for buildings and nonbuilding structures. The structural designs are integrated with those of other designers such as architects and building services engineer and often supervise the construction of projects by contractors on site. They can also be involved in the design of machinery, medical equipment, and vehicles where structural integrity affects functioning and safety. See glossary of structural engineering. Structural engineering theory is based upon applied physical laws and empirical knowledge of the structural performance of different materials and geometries. Structural engineering design uses a number of relatively simple structural elements to build complex structural systems. Structural engineers are responsible for making creative and efficient use of funds, structural elements and materials to achieve these goals.
  4. Packaging: Preparing products through wrapping or bottling to protect the goods from damages during transportation and storage.
  5. Microsoft Office: Microsoft Office is a suite of desktop productivity applications that is designed by Microsoft for business use. You can create documents containing text and images, work with data in spreadsheets and databases, create presentations and posters.

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Check more jobs information at Think Big Analytics Inc

Job Title Average Think Big Analytics Inc Salary Hourly Rate
2 Account Director $210,693 $101
3 Client Partner $67,382 $32
4 Manager $113,885 $55
5 Manager, Service Delivery $136,526 $66
6 Practice Director $145,002 $70
7 Technical Recruiting Lead $119,733 $58
8 Vice President, Sales $243,524 $117
9 Engineer Intern $75,748 $36
10 Presale Consultant $97,280 $47
11 Senior Technical Recruiter $62,710 $30
12 Data Engineer $131,192 $63

Hourly Pay at Think Big Analytics Inc

The average hourly pay at Think Big Analytics Inc for a Senior Data Engineer is $51 per hour. The location, department, and job description all have an impact on the typical compensation for Think Big Analytics Inc positions. The pay range and total remuneration for the job title are shown in the table below. Think Big Analytics Inc may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $106,289 look to you?

FAQ about Salary and Jobs at Think Big Analytics Inc

1. How much does Think Big Analytics Inc pay per hour?
The average hourly pay is $51. 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 Think Big Analytics Inc?
According to the data, the highest approximate salary is about $119,601 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 Think Big Analytics Inc?
According to the data, the lowest estimated salary is about $93,716 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.