Salary for Mid-level / Intermediate Data Quality Engineer during 2024

Salary details

The average mid-level / intermediate Data Quality Engineer salary lies between USD 80,000 and USD 132,300 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 Mid-level / Intermediate Data Quality Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Data Quality Engineer job listings are Data quality, Engineering and SQL. 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 | 26 jobs Engineering | 19 jobs SQL | 18 jobs Python | 16 jobs Testing | 14 jobs Computer Science | 12 jobs Power BI | 8 jobs Pipelines | 8 jobs Data analysis | 8 jobs Java | 8 jobs NoSQL | 7 jobs Statistics | 7 jobs ETL | 6 jobs Tableau | 6 jobs Azure | 6 jobs MongoDB | 5 jobs AWS | 5 jobs Research | 5 jobs Data pipelines | 5 jobs PostgreSQL | 5 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Quality Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Quality Engineer job listings are Career development, Flex hours and Startup environment. 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 | 17 jobs Flex hours | 9 jobs Startup environment | 9 jobs Health care | 8 jobs Flex vacation | 7 jobs Equity / stock options | 6 jobs Competitive pay | 6 jobs Wellness | 5 jobs Medical leave | 3 jobs 401(k) matching | 2 jobs Parental leave | 2 jobs Transparency | 2 jobs Salary bonus | 2 jobs Relocation support | 1 jobs Insurance | 1 jobs Home office stipend | 1 jobs

Salary Composition for a Mid-level Data Quality Engineer

The salary for a Mid-level 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 demand for skilled professionals. In contrast, regions with a lower cost of living might offer a smaller base salary but could compensate with other benefits.
• Industry: Industries such as finance and healthcare often offer higher salaries due to the critical nature of data quality in these sectors. Tech companies might offer competitive salaries along with stock options.
• Company Size: Larger companies may offer more comprehensive benefits packages and bonuses, while startups might offer equity or stock options as part of the compensation package to make up for a lower base salary.

Steps to Increase Salary from This Position

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

• Skill Enhancement: Continuously upgrade your skills in data management, machine learning, and data governance. Specializing in emerging technologies or tools can make you more valuable.
• Advanced Certifications: Obtain advanced certifications in data science or related fields to demonstrate your expertise and commitment to the field.
• Networking: Engage with professional networks and communities. Building relationships can lead to new opportunities and insights into higher-paying roles.
• Leadership Roles: Aim for leadership or managerial positions within your team or organization. These roles often come with higher pay and additional responsibilities.
• Cross-Industry Experience: Gaining experience in high-paying industries like finance or healthcare can open doors to better-paying opportunities.

Educational Requirements

Most Mid-level Data Quality Engineer positions require at least a bachelor's degree in a relevant field such as computer science, information technology, data science, or a related discipline. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data analysis or management tasks.

Helpful Certifications

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

• Certified Data Management Professional (CDMP): This certification validates your skills in data management and governance.
• Microsoft Certified: Azure Data Engineer Associate: Useful if you work with Microsoft Azure technologies.
• AWS Certified Data Analytics – Specialty: Beneficial for those working with AWS services.
• Google Professional Data Engineer: Ideal for professionals working with Google Cloud Platform.

Required Experience

Typically, a Mid-level Data Quality Engineer is expected to have 3-5 years of experience in data quality, data management, or a related field. Experience with data quality tools, data governance frameworks, and proficiency in SQL and programming languages like Python or R is often required. Familiarity with data warehousing and ETL processes is also advantageous.

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