How much does an Engineering Data Analyst make in the United States?
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The average Engineering Data Analyst salary in the United States is $99,502 as of July 01, 2026. The range for our most popular Engineering Data Analyst positions (listed below) typically falls between $87,992 and $111,011. Keep in mind that salary ranges can vary widely depending on many important factors, including position, education, certifications, additional skills, and the number of years you have spent in your profession. With more online, real-time compensation data than any other website, Salary.com helps you determine your exact pay target.
Engineering Data Analyst's Annual Base Salary
| Job Title | Salary | Hourly Rate | Location | Date Updated |
| Data Engineering Analyst | $74,037 | $35.59 | United States | July 01, 2026 |
| Data Engineering | $122,286 | $58.79 | United States | July 01, 2026 |
| Data Engineering Manager | $173,234 | $83.29 | United States | July 01, 2026 |
| Data Engineering Senior Manager | $205,754 | $98.92 | United States | July 01, 2026 |
| Big Data Analyst IV | $159,550 | $76.71 | United States | July 01, 2026 |
| Big Data Analyst I | $84,290 | $40.52 | United States | July 01, 2026 |
| Big Data Analyst II | $106,110 | $51.01 | United States | July 01, 2026 |
| Big Data Analyst III | $130,910 | $62.94 | United States | July 01, 2026 |
| Big Data Analyst V | $189,190 | $90.96 | United States | July 01, 2026 |
| Big Data Analyst VI | $231,200 | $111.15 | United States | July 01, 2026 |
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Data Engineering Manager manages the team responsible for designing and building systems that collect, store, and process data. Monitors the creation of data pipelines that move data through an organization. Being a Data Engineering Manager ensures data is accurate, secure, and compliant with organizational guidelines and any applicable regulations. Stays current on emerging technology trends and data engineering best practices. Additionally, Data Engineering Manager requires a bachelor's degree. Typically reports to a director. The Data Engineering Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Data Engineering Manager typically requires 5 years experience in the related area as an individual contributor. 1-3 years supervisory experience may be required. Extensive knowledge of the function and department processes. View Data Engineering Manager SalaryAlternate Job Titles:ETL Engineering Manager
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Data Engineering Senior Manager leads and manages the team responsible for designing and building systems that collect, store, and process data. Oversees the creation of data pipelines that move data through an organization. Being a Data Engineering Senior Manager ensures data is accurate, secure, and compliant with organizational guidelines and any applicable regulations. Stays current on emerging technology trends and data engineering best practices. Additionally, Data Engineering Senior Manager requires a bachelor's degree. Typically reports to a director. The Data Engineering Senior Manager typically manages through subordinate managers and professionals in larger groups of moderate complexity. Provides input to strategic decisions that affect the functional area of responsibility. May give input into developing the budget. To be a Data Engineering Senior Manager typically requires 3+ years of managerial experience. Capable of resolving escalated issues arising from operations and requiring coordination with other departments. View Data Engineering Senior Manager SalaryAlternate Job Titles:ETL Engineering Senior Manager
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The Big Data Analyst IV performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst IV maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst IV designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst IV work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. Working as a Big Data Analyst IV typically requires 7+ years of related experience. View Big Data Analyst IV SalaryAlternate Job Titles:Data Scientist IV
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The Big Data Analyst I performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst I maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst I designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst I work is closely managed. Works on projects/matters of limited complexity in a support role. Working as a Big Data Analyst I typically requires 0-2 years of related experience. View Big Data Analyst I SalaryAlternate Job Titles:Data Scientist I
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The Big Data Analyst II performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst II maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst II designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst II occasionally directed in several aspects of the work. Gaining exposure to some of the complex tasks within the job function. Working as a Big Data Analyst II typically requires 2-4 years of related experience. View Big Data Analyst II SalaryAlternate Job Titles:Data Scientist II
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The Big Data Analyst III performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst III maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst III designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst III work is generally independent and collaborative in nature. Contributes to moderately complex aspects of a project. Working as a Big Data Analyst III typically requires 4-7 years of related experience. View Big Data Analyst III SalaryAlternate Job Titles:Data Scientist III
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The Big Data Analyst V performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst V maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst V designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Being a Big Data Analyst V works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Working as a Big Data Analyst V typically requires 10+ years of related experience. View Big Data Analyst V SalaryAlternate Job Titles:Data Scientist V
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The Big Data Analyst VI performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Collects, analyzes, and interprets large data sets to identify trends, patterns, and provide key business insights. Being a Big Data Analyst VI maintains continuous collaboration with teams to understand the underlying purpose, focus, and objective of each data analysis project to ensure alignment and support. Develops insights and reports from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. In addition, Big Data Analyst VI designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a manager. Working as a Big Data Analyst VI typically requires 12+ years of related experience. Achievement and depth of knowledge of specialization or field is the main differentiator. Advisory role on complex and challenging projects and initiatives. Recognized for deep technical and industry knowledge and innovative thinking. Provides thought leadership and guidance to a functional area and the organization. View Big Data Analyst VI SalaryAlternate Job Titles:Data Scientist VI