Data Engineer & Intern Salary at Lexisnexis BETA
How much does a Lexisnexis Data Engineer & Intern make?
As of March 2025, the average annual salary for a Data Engineer & Intern at Lexisnexis is $101,996, which translates to approximately $49 per hour. Salaries for Data Engineer & Intern at Lexisnexis typically range from $92,262 to $108,877, 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.
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What Skills Does a person Need at Lexisnexis?
At Lexisnexis, 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.
- Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
- Data Science: Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems". Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
- Machine Learning: Using mathematical models, data, and algorithms to help a computer learn without direct instruction.
- Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
- Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
Related Jobs
Check more jobs information at Lexisnexis
| Job Title | Average Lexisnexis Salary | Hourly Rate | |
|---|---|---|---|
| 2 | Senior Director, Compliance | $208,619 | $100 |
| 3 | Senior Director, Information Technology | $269,381 | $130 |
| 4 | Senior Director, Operations | $202,406 | $97 |
| 5 | Senior Executive Assistant | $115,555 | $56 |
| 6 | Senior Fraud Analyst | $54,362 | $26 |
| 7 | Senior Global Product Manager | $133,001 | $64 |
| 8 | Account Assistant | $54,112 | $26 |
| 9 | Account Management Associate | $178,434 | $86 |
| 10 | Account Manager, Inside Sales | $84,124 | $40 |
| 11 | Account Manager, Internal | $84,124 | $40 |
| 12 | Account Support Specialist | $54,112 | $26 |
| 13 | Accounting Analyst | $104,951 | $50 |
Hourly Pay at Lexisnexis
FAQ about Salary and Jobs at Lexisnexis
The average hourly pay is $49. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
According to the data, the highest approximate salary is about $108,877 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
According to the data, the lowest estimated salary is about $92,262 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
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.