Salary for Senior-level / Expert BI Engineer during 2024

Salary details

The average senior-level / expert BI Engineer salary lies between USD 102,000 and USD 145,000 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 Senior-level / Expert BI Engineer roles

The three most common job tag items assiciated with senior-level / expert BI Engineer job listings are SQL, Engineering and Power BI. 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 | 106 jobs Engineering | 80 jobs Power BI | 76 jobs Business Intelligence | 68 jobs ETL | 64 jobs Computer Science | 56 jobs Python | 54 jobs AWS | 50 jobs Architecture | 50 jobs Azure | 49 jobs Pipelines | 49 jobs Tableau | 47 jobs Snowflake | 46 jobs Testing | 38 jobs Agile | 38 jobs GCP | 36 jobs Data Warehousing | 33 jobs Data pipelines | 33 jobs Big Data | 31 jobs Security | 31 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert BI Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 79 jobs Flex hours | 47 jobs Health care | 44 jobs Competitive pay | 35 jobs Flex vacation | 34 jobs Salary bonus | 33 jobs Team events | 30 jobs Medical leave | 30 jobs Startup environment | 27 jobs Insurance | 20 jobs Equity / stock options | 19 jobs Parental leave | 19 jobs 401(k) matching | 17 jobs Wellness | 15 jobs Conferences | 9 jobs Home office stipend | 9 jobs Transparency | 6 jobs Relocation support | 4 jobs Gear | 3 jobs Unlimited paid time off | 3 jobs

Salary Composition

The salary composition for a Senior-level or Expert BI Engineer in AI/ML/Data Science typically includes a mix of fixed salary, bonuses, and additional remuneration. The fixed salary often constitutes the majority of the total compensation package, usually ranging from 70% to 85%. Bonuses can vary significantly depending on the company and industry, often making up 10% to 20% of the total compensation. Additional remuneration might include stock options, profit-sharing, or other incentives, which can account for 5% to 10% of the total package.

Regional differences play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options, while regions with a lower cost of living might offer more balanced packages. Industry also impacts salary composition; tech companies might offer more in stock options, whereas finance or healthcare might provide higher bonuses. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and smaller companies offering more equity-based incentives.

Increasing Salary Further

To increase your salary beyond the median of USD 137,000, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or AI ethics 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 and leadership positions.

• Networking: Engage with professional networks and communities. Attending conferences, webinars, and workshops can lead to new opportunities and insights into higher-paying roles.

• Leadership Roles: Transitioning into managerial or leadership roles can significantly increase your earning potential. This might involve leading a team of data scientists or managing large-scale AI projects.

• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during job offers or performance reviews.

Educational Requirements

Most Senior-level BI Engineer positions 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. Advanced degrees demonstrate a deeper understanding of complex concepts and methodologies, which is crucial for senior roles.

Helpful Certifications

Certifications can enhance your credibility and demonstrate expertise in specific areas. Some valuable 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 validate your skills and knowledge, making you a more attractive candidate for senior roles.

Required Experience

Typically, a Senior-level BI Engineer in AI/ML/Data Science is expected to have at least 5 to 10 years of experience in the field. This experience should include hands-on work with data analysis, machine learning models, and business intelligence tools. Experience in leading projects, mentoring junior team members, and collaborating with cross-functional teams is also highly valued.

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