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

Salary details

The average senior-level / expert Data Quality Specialist salary lies between USD 97,870 and USD 163,116 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: March 9, 2025

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

The three most common job tag items assiciated with senior-level / expert Data Quality Specialist job listings are Data quality, SQL and Data analysis. 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:

Data quality | 16 jobs SQL | 9 jobs Data analysis | 8 jobs Data governance | 7 jobs Power BI | 5 jobs Excel | 5 jobs Data management | 5 jobs Privacy | 5 jobs Research | 4 jobs Security | 4 jobs Computer Science | 4 jobs KPIs | 3 jobs Python | 2 jobs Machine Learning | 2 jobs ETL | 2 jobs Data Analytics | 2 jobs Banking | 2 jobs Finance | 2 jobs CX | 2 jobs Agile | 2 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Quality Specialist job listings are Competitive pay, Health care and Career development. 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:

Competitive pay | 9 jobs Health care | 6 jobs Career development | 5 jobs Flex hours | 4 jobs Flex vacation | 3 jobs Wellness | 3 jobs Startup environment | 3 jobs Conferences | 2 jobs Equity / stock options | 1 jobs Team events | 1 jobs Medical leave | 1 jobs Insurance | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert Data Quality Specialist in AI/ML/Data Science typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options or profit-sharing, is more common in larger tech companies or startups and can make up 5% to 10% of the total package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. Specializing in niche areas can make you more valuable.
• Leadership Roles: Transition into leadership or managerial roles, such as a Data Quality Manager or Director of Data Quality, which typically offer higher salaries.
• Industry Change: Explore opportunities in industries that pay higher salaries for data quality specialists, such as finance, healthcare, or technology.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into salary trends.
• Negotiation: Improve your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level Data Quality Specialist positions require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, or Information Technology. However, a master's degree or even a Ph.D. can be advantageous, especially for roles in research-intensive industries or companies. Advanced degrees often provide a deeper understanding of data management, analytics, and machine learning, which are crucial for this role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise in data quality and related fields. Some valuable certifications include:

• Certified Data Management Professional (CDMP)
• Certified Information Systems Auditor (CISA)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Data Analytics – Specialty

These certifications can help validate your skills and knowledge, making you a more competitive candidate.

Required Experience

Typically, a Senior-level Data Quality Specialist is expected to have at least 5 to 10 years of experience in data management, data quality, or related fields. This experience should include a strong track record of implementing data quality frameworks, managing data governance processes, and working with large datasets. Experience in AI/ML projects and familiarity with data science tools and platforms is also highly desirable.

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