Data Integration Engineer Salary in 2024

Salary details

The average Data Integration Engineer salary lies between USD 100,000 and USD 150,000 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: Dec. 15, 2024

Top 20 Job Tags for Data Integration Engineer roles

The three most common job tag items assiciated with Data Integration Engineer job listings are SQL, Engineering 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:

SQL | 95 jobs Engineering | 86 jobs Python | 72 jobs ETL | 62 jobs Computer Science | 61 jobs Security | 51 jobs Pipelines | 50 jobs APIs | 48 jobs Architecture | 43 jobs Azure | 43 jobs AWS | 40 jobs Data pipelines | 33 jobs Agile | 33 jobs Testing | 31 jobs Java | 30 jobs Oracle | 29 jobs Data quality | 29 jobs DevOps | 27 jobs Spark | 24 jobs RDBMS | 24 jobs

Top 20 Job Perks/Benefits for Data Integration Engineer roles

The three most common job benefits and perks assiciated with Data Integration Engineer job listings are Health care, Career development 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:

Health care | 56 jobs Career development | 56 jobs Flex hours | 35 jobs Equity / stock options | 30 jobs Startup environment | 30 jobs Competitive pay | 29 jobs Insurance | 25 jobs Flex vacation | 22 jobs Salary bonus | 22 jobs Parental leave | 17 jobs Medical leave | 16 jobs Team events | 15 jobs Wellness | 9 jobs Unlimited paid time off | 8 jobs Snacks / Drinks | 6 jobs Home office stipend | 5 jobs 401(k) matching | 4 jobs Relocation support | 3 jobs Yoga | 3 jobs Transparency | 2 jobs

Salary Composition

The salary for a Data Integration Engineer in AI/ML/Data Science 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 hubs like Silicon Valley, bonuses might be more substantial compared to other regions. Additional remuneration can include stock options, especially in startups or large tech companies, and benefits such as health insurance, retirement plans, and paid time off. The composition can also vary by industry, with tech and finance sectors often offering higher total compensation packages compared to other industries. Company size can influence the package as well, with larger companies potentially offering more comprehensive benefits and bonuses.

Increasing Salary

To increase your salary from the position of a Data Integration Engineer, consider the following steps:

• Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and data integration tools. Specializing in high-demand areas like cloud computing, big data, or machine learning can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into managerial or lead roles can significantly increase your earning potential.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most Data Integration Engineer roles require at least a bachelor's degree in computer science, information technology, data science, or a related field. A strong foundation in mathematics and statistics is also beneficial. Some positions may prefer candidates with a master's degree, especially for roles that involve complex data integration and analysis tasks.

Helpful Certifications

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

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

These certifications can help you stand out in the job market and may lead to better job opportunities and higher salaries.

Required Experience

Typically, a Data Integration Engineer position requires 3-5 years of experience in data engineering, data integration, or a related field. Experience with data integration tools like Informatica, Talend, or Apache Nifi is often required. Familiarity with programming languages such as Python, Java, or SQL is also essential. Experience in working with cloud platforms like AWS, Azure, or Google Cloud can be a significant advantage.

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