Salary for Mid-level / Intermediate BI Engineer during 2024

Salary details

The average mid-level / intermediate BI Engineer salary lies between USD 76,400 and USD 130,000 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 22, 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 | 55 jobs Power BI | 50 jobs Business Intelligence | 43 jobs Engineering | 33 jobs ETL | 31 jobs Tableau | 28 jobs Pipelines | 26 jobs Python | 25 jobs Data visualization | 23 jobs Computer Science | 22 jobs Data Warehousing | 21 jobs Agile | 21 jobs Security | 20 jobs Azure | 19 jobs DevOps | 17 jobs Data warehouse | 17 jobs AWS | 16 jobs Testing | 16 jobs Data pipelines | 15 jobs Data quality | 15 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 | 39 jobs Flex hours | 30 jobs Health care | 21 jobs Team events | 16 jobs Equity / stock options | 14 jobs Competitive pay | 11 jobs Startup environment | 8 jobs Flex vacation | 7 jobs Fitness / gym | 5 jobs Insurance | 5 jobs Parental leave | 3 jobs Conferences | 3 jobs Relocation support | 3 jobs Salary bonus | 3 jobs Wellness | 2 jobs Unlimited paid time off | 2 jobs 401(k) matching | 1 jobs Lunch / meals | 1 jobs Flat hierarchy | 1 jobs Travel | 1 jobs

Salary Composition

The salary for a mid-level/intermediate BI Engineer in AI/ML/Data Science typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. 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 performance and individual achievements. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off.

The composition can vary by region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options, while companies in smaller markets might offer more competitive bonuses. Larger companies often provide more comprehensive benefits packages, whereas startups might compensate with equity options.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or methodologies can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can 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: Aim for leadership or managerial positions, which typically offer higher salaries.
• Industry Switch: Transitioning to a higher-paying industry, such as finance or tech, can also lead to salary increases.

Educational Requirements

Most mid-level BI Engineer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, statistics, or a related field. However, a master's degree is often preferred and can be a significant advantage. Courses in machine learning, data analysis, and programming are particularly beneficial.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified AI & Machine Learning Professional

These certifications can help validate your skills and make you more competitive in the job market.

Required Experience

Typically, a mid-level BI Engineer position requires 3-5 years of experience in business intelligence, data analysis, or a related field. Experience with data visualization tools, SQL, and programming languages like Python or R is often necessary. Familiarity with machine learning frameworks and cloud platforms can also be advantageous.

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