Data Quality Engineer Salary in 2024

Salary details

The average Data Quality Engineer salary lies between USD 90,000 and USD 137,000 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: Nov. 17, 2024

Top 20 Job Tags for Data Quality Engineer roles

The three most common job tag items assiciated with 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 | 73 jobs SQL | 58 jobs Python | 52 jobs Engineering | 51 jobs Testing | 49 jobs Computer Science | 38 jobs ETL | 36 jobs Agile | 36 jobs Pipelines | 35 jobs AWS | 25 jobs Data pipelines | 25 jobs APIs | 25 jobs Security | 24 jobs Java | 23 jobs Data management | 22 jobs Architecture | 21 jobs Statistics | 20 jobs Data Warehousing | 19 jobs Research | 18 jobs Power BI | 18 jobs

Top 20 Job Perks/Benefits for Data Quality Engineer roles

The three most common job benefits and perks assiciated with Data Quality 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 | 49 jobs Flex hours | 25 jobs Health care | 22 jobs Startup environment | 20 jobs Flex vacation | 15 jobs Competitive pay | 14 jobs Equity / stock options | 12 jobs Team events | 12 jobs Salary bonus | 10 jobs Parental leave | 7 jobs Wellness | 7 jobs Gear | 7 jobs Home office stipend | 7 jobs Flat hierarchy | 6 jobs Medical leave | 5 jobs Insurance | 5 jobs 401(k) matching | 4 jobs Transparency | 4 jobs Yoga | 4 jobs Relocation support | 3 jobs

Salary Composition for a Data Quality Engineer

The salary composition for a Data Quality Engineer can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits. In regions with a high cost of living, like the San Francisco Bay Area or New York City, the base salary might be higher to compensate for living expenses. In contrast, regions with a lower cost of living might offer a smaller base salary but could compensate with more substantial bonuses or stock options.

In industries like finance or tech, bonuses can be a significant part of the compensation package, sometimes ranging from 10% to 20% of the base salary. Larger companies might offer more comprehensive benefits and stock options, while smaller companies or startups might provide equity as a part of the compensation package to attract talent.

Steps to Increase Salary from a Data Quality Engineer Position

To increase your salary from a Data Quality Engineer position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in data management, machine learning, and data analytics. Proficiency in programming languages like Python or R, and tools like SQL, can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications in data science or machine learning can open up higher-paying opportunities.
• Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
• Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher pay.
• Industry Shift: Consider moving to industries that pay higher salaries for data roles, such as finance or tech.

Educational Requirements for a Data Quality Engineer

Most Data Quality Engineer positions require at least a bachelor's degree in a related field such as computer science, information technology, or data science. Some employers may prefer candidates with a master's degree, especially for more senior roles. Coursework in statistics, data management, and software engineering is often beneficial.

Helpful Certifications for a Data Quality Engineer

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

• Certified Data Management Professional (CDMP)
• Microsoft Certified: Azure Data Engineer Associate
• Google Professional Data Engineer
• AWS Certified Data Analytics – Specialty

These certifications can help you stand out in the job market and may lead to higher salary offers.

Experience Required for a Data Quality Engineer

Typically, employers look for candidates with 2-5 years of experience in data quality, data management, or a related field. Experience with data quality tools, data governance, and data warehousing is often required. Familiarity with data quality frameworks and methodologies is also beneficial.

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