BI Engineer Salary in 2024
💰 The median BI Engineer Salary in 2024 is USD 133,250
✏️ This salary info is based on 46 individual salaries reported during 2024
Salary details
The average BI Engineer salary lies between USD 90,000 and USD 144,500 globally. 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.
- Job title
- BI Engineer
- Experience
- all levels
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 46
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- Top 25%
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- Median
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- Bottom 25%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Top 20 Job Tags for BI Engineer roles
The three most common job tag items assiciated with BI Engineer job listings are SQL, Power BI and Engineering. 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 | 166 jobs Power BI | 134 jobs Engineering | 131 jobs Business Intelligence | 121 jobs Computer Science | 94 jobs Python | 91 jobs ETL | 86 jobs Pipelines | 86 jobs Tableau | 84 jobs AWS | 79 jobs Security | 60 jobs Azure | 60 jobs Data quality | 60 jobs GCP | 59 jobs Data Analytics | 58 jobs Agile | 58 jobs Architecture | 55 jobs Testing | 54 jobs Snowflake | 50 jobs Data Warehousing | 46 jobsTop 20 Job Perks/Benefits for BI Engineer roles
The three most common job benefits and perks assiciated with BI Engineer job listings are Career development, Flex hours and Team events. 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 | 130 jobs Flex hours | 90 jobs Team events | 62 jobs Health care | 59 jobs Competitive pay | 41 jobs Flex vacation | 39 jobs Salary bonus | 37 jobs Startup environment | 33 jobs Medical leave | 31 jobs Equity / stock options | 29 jobs Insurance | 25 jobs Parental leave | 23 jobs 401(k) matching | 16 jobs Wellness | 16 jobs Home office stipend | 10 jobs Conferences | 9 jobs Transparency | 8 jobs Fitness / gym | 7 jobs Unlimited paid time off | 6 jobs Relocation support | 5 jobsSalary Composition
The salary for a BI Engineer transitioning into AI/ML/Data Science roles typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, usually make up 10-20% of the salary. Additional remuneration might include stock options, especially in tech companies, and other benefits like health insurance, retirement plans, and professional development allowances. The composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York may offer higher base salaries and stock options, while smaller companies might provide more substantial bonuses to attract talent.
Increasing Salary
To increase your salary from this position, consider the following steps:
- Skill Enhancement: Continuously update your skills in AI/ML technologies and tools. Specializing in a niche area can make you more valuable.
- Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open doors to higher-paying roles.
- Leadership Roles: Transitioning into managerial or lead roles can significantly boost your salary.
- Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
- Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field.
Educational Requirements
Most positions in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. However, a master's degree is often preferred, especially for more advanced roles. Some positions may also require a Ph.D., particularly those focused on research and development.
Helpful Certifications
Several certifications can be beneficial for a career in AI/ML/Data Science:
- Certified Data Scientist (CDS)
- Google Professional Machine Learning Engineer
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- TensorFlow Developer Certificate
These certifications can help validate your skills and knowledge, making you a more competitive candidate.
Required Experience
Typically, employers look for candidates with 3-5 years of experience in data analysis, business intelligence, or a related field. Experience with data modeling, machine learning algorithms, and programming languages like Python or R is often required. Familiarity with data visualization tools and cloud platforms can also be advantageous.
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