Data Quality Engineer Salary in United States during 2024

Salary details

The average Data Quality Engineer salary lies between USD 90,000 and USD 136,700 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: 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 for a Data Quality Engineer 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. Larger companies or those in high-demand industries such as technology or finance may offer more competitive compensation packages, including higher bonuses and stock options, compared to smaller companies or those in less competitive industries.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or tools can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and open up higher-paying opportunities.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends in the industry.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions or salary negotiations.
• Industry Transition: Consider moving to industries that offer higher compensation for data quality roles, such as finance or tech.

Educational Requirements

Most 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. Some roles may prefer or require a master's degree, especially for positions that involve more complex data analysis or management responsibilities. A strong foundation in statistics, data management, and programming is often essential.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications for a Data Quality Engineer include:

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

These certifications can validate your skills in data management, cloud platforms, and data analytics, making you a more competitive candidate.

Experience Requirements

Typically, a Data Quality Engineer role requires 3-5 years of experience in data management, data analysis, or a related field. Experience with data quality tools, data governance, and familiarity with data warehousing concepts is often expected. Experience in specific industries or with certain technologies can also be advantageous.

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