Salary for Senior-level / Expert Data Quality Engineer during 2024

Salary details

The average senior-level / expert Data Quality Engineer salary lies between USD 111,900 and USD 137,930 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 Data Quality Engineer roles

The three most common job tag items assiciated with senior-level / expert Data Quality Engineer job listings are Data quality, SQL and Python. 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 | 41 jobs SQL | 37 jobs Python | 32 jobs Engineering | 29 jobs Testing | 28 jobs ETL | 25 jobs Agile | 24 jobs Pipelines | 22 jobs Computer Science | 21 jobs AWS | 18 jobs Data management | 16 jobs Security | 15 jobs Data pipelines | 15 jobs Data Warehousing | 14 jobs Architecture | 14 jobs GCP | 14 jobs Big Data | 12 jobs Data governance | 12 jobs Git | 11 jobs APIs | 11 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Quality Engineer job listings are Career development, Health care and Flex hours. 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 | 27 jobs Health care | 16 jobs Flex hours | 14 jobs Team events | 9 jobs Startup environment | 8 jobs Salary bonus | 8 jobs Equity / stock options | 7 jobs Parental leave | 6 jobs Flat hierarchy | 6 jobs Competitive pay | 6 jobs Home office stipend | 6 jobs Flex vacation | 5 jobs Gear | 5 jobs Yoga | 4 jobs Insurance | 3 jobs 401(k) matching | 2 jobs Wellness | 2 jobs Transparency | 2 jobs Relocation support | 2 jobs Medical leave | 2 jobs

Salary Composition

The salary for a Senior-level or Expert Data Quality Engineer typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly depending on the region, industry, and company size.

• Region: In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive job market. In contrast, regions with a lower cost of living might offer a smaller base salary but compensate with other benefits.
• Industry: Industries such as finance or healthcare may offer higher bonuses due to the critical nature of data quality in their operations. Tech companies might provide stock options as part of the compensation package.
• Company Size: Larger companies often have more structured bonus programs and additional benefits like retirement plans, while startups might offer equity or stock options as a significant part of the compensation.

Increasing Salary

To increase your salary 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: Moving to a higher-paying industry, such as finance or tech, can result in a salary increase.
• Negotiation: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level Data Quality Engineer positions require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Data Science, or Engineering. A master's degree or Ph.D. can be advantageous, especially for roles that require a deep understanding of data science and machine learning principles.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise:

• Certified Data Management Professional (CDMP)
• Data Science Certification from platforms like Coursera or edX
• AWS Certified Big Data – Specialty
• Google Professional Data Engineer Certification

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

Required Experience

Typically, a Senior-level Data Quality Engineer is expected to have 5-10 years of experience in data quality, data management, or a related field. Experience with data governance, data warehousing, and proficiency in data quality tools and technologies is often required. Experience in leading projects or teams can also be beneficial.

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