Salary for Senior-level / Expert Data Operations Specialist in United States during 2024

Salary details

The average senior-level / expert Data Operations Specialist salary lies between USD 55,720 and USD 121,500 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: Dec. 22, 2024

Top 20 Job Tags for Senior-level / Expert Data Operations Specialist roles

The three most common job tag items assiciated with senior-level / expert Data Operations Specialist job listings are DataOps, Engineering and Excel. 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:

DataOps | 14 jobs Engineering | 7 jobs Excel | 7 jobs SQL | 5 jobs Computer Science | 5 jobs Research | 4 jobs Consulting | 4 jobs Finance | 4 jobs Architecture | 4 jobs Pipelines | 4 jobs Data management | 4 jobs Looker | 3 jobs Testing | 3 jobs Data analysis | 3 jobs Salesforce | 3 jobs Python | 2 jobs R | 2 jobs ETL | 2 jobs AWS | 2 jobs Scrum | 2 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Operations Specialist roles

The three most common job benefits and perks assiciated with senior-level / expert Data Operations Specialist 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 | 8 jobs Flex hours | 6 jobs Health care | 5 jobs Equity / stock options | 3 jobs Flex vacation | 3 jobs Team events | 3 jobs 401(k) matching | 2 jobs Competitive pay | 2 jobs Unlimited paid time off | 2 jobs Parental leave | 1 jobs Fitness / gym | 1 jobs Startup environment | 1 jobs Snacks / Drinks | 1 jobs Yoga | 1 jobs Medical leave | 1 jobs Insurance | 1 jobs Salary bonus | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Data Operations Specialist in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might be more substantial compared to other areas. In contrast, smaller companies or those in less competitive regions might offer fewer bonuses but could compensate with other benefits like flexible working conditions or additional vacation days.

Increasing Salary Potential

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in data science or a related field. Networking within the industry and attending relevant conferences can also open up opportunities for higher-paying roles. Additionally, gaining expertise in emerging technologies or specialized areas within AI/ML can make you more valuable to employers. Seeking roles in larger companies or those in high-demand regions can also lead to higher salaries. Demonstrating leadership skills and taking on managerial responsibilities can further enhance your earning potential.

Educational Requirements

Most Senior-level/Expert Data Operations Specialist roles require at least a bachelor's degree in computer science, data science, statistics, or a related field. However, many employers prefer candidates with a master's degree or even a Ph.D., especially for more technical or research-focused positions. A strong foundation in mathematics, statistics, and computer programming is essential, as these skills are critical for data analysis and model development.

Helpful Certifications

Several certifications can enhance your qualifications for this role. Some of the most recognized include:

• Certified Data Management Professional (CDMP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications demonstrate your expertise and commitment to staying current with industry standards and technologies.

Required Experience

Typically, a Senior-level/Expert Data Operations Specialist is expected to have at least 5-10 years of experience in data science, data engineering, or a related field. This experience should include hands-on work with data analysis, machine learning models, and data management systems. Experience in leading projects, mentoring junior team members, and collaborating with cross-functional teams is also highly valued.

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