Salary for Mid-level / Intermediate BI Engineer in United States during 2024

Salary details

The average mid-level / intermediate BI Engineer salary lies between USD 67,500 and USD 143,100 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 10, 2024

Top 20 Job Tags for Mid-level / Intermediate BI Engineer roles

The three most common job tag items assiciated with mid-level / intermediate BI Engineer job listings are SQL, Power BI and Business Intelligence. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

SQL | 37 jobs Power BI | 34 jobs Business Intelligence | 32 jobs Engineering | 26 jobs ETL | 22 jobs Tableau | 19 jobs Python | 18 jobs Pipelines | 18 jobs Computer Science | 17 jobs Agile | 16 jobs Data Warehousing | 15 jobs Azure | 13 jobs Data visualization | 13 jobs Data warehouse | 13 jobs Data quality | 13 jobs Testing | 12 jobs DevOps | 12 jobs Security | 11 jobs Data pipelines | 11 jobs Big Data | 10 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate BI Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate BI Engineer job listings are Career development, Flex hours and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 23 jobs Flex hours | 20 jobs Health care | 13 jobs Team events | 13 jobs Competitive pay | 8 jobs Equity / stock options | 7 jobs Fitness / gym | 5 jobs Startup environment | 5 jobs Flex vacation | 4 jobs Insurance | 3 jobs Parental leave | 2 jobs Relocation support | 2 jobs Salary bonus | 2 jobs Lunch / meals | 1 jobs Wellness | 1 jobs Travel | 1 jobs Transparency | 1 jobs Conferences | 1 jobs Snacks / Drinks | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate BI Engineer in the AI/ML/Data Science field typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 5% to 20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations, profit-sharing or 401(k) matching might be more prevalent. The composition can also vary by region, with tech hubs offering higher base salaries and more lucrative stock options compared to other areas.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or tools can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and open up higher-paying opportunities.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities and trends.
• Leadership Roles: Seek opportunities to lead projects or teams, as managerial roles often come with higher compensation.
• Industry Shift: Consider moving to industries that pay higher salaries for BI Engineers, such as finance or healthcare.

Educational Requirements

Most mid-level BI Engineer positions require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Data Science, or Statistics. Some positions may prefer or require a master's degree, especially in more competitive markets or specialized roles. A strong foundation in mathematics and statistics is often essential, along with programming skills.

Helpful Certifications

Certifications can be a valuable addition to your resume and demonstrate your commitment to professional development. Some common and beneficial certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• IBM Data Science Professional Certificate

These certifications can help validate your skills and knowledge in specific tools and methodologies used in the industry.

Required Experience

Typically, a mid-level BI Engineer role requires 3-5 years of experience in business intelligence, data analysis, or a related field. Experience with data visualization tools (such as Tableau or Power BI), SQL, and programming languages like Python or R is often necessary. Experience in AI/ML projects or familiarity with machine learning frameworks can be a significant advantage.

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