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

Salary details

The average senior-level / expert Data Integration Engineer salary lies between USD 100,000 and USD 175,000 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 Senior-level / Expert Data Integration Engineer roles

The three most common job tag items assiciated with senior-level / expert Data Integration Engineer job listings are SQL, Engineering and ETL. 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 | 41 jobs Engineering | 38 jobs ETL | 34 jobs Python | 32 jobs Pipelines | 28 jobs Security | 26 jobs Computer Science | 26 jobs AWS | 24 jobs Azure | 22 jobs Architecture | 21 jobs APIs | 21 jobs DevOps | 20 jobs Data pipelines | 16 jobs Oracle | 15 jobs CI/CD | 15 jobs Linux | 14 jobs Agile | 14 jobs Java | 14 jobs Data Warehousing | 13 jobs Spark | 13 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert 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 | 25 jobs Career development | 24 jobs Flex hours | 21 jobs Competitive pay | 16 jobs Equity / stock options | 13 jobs Insurance | 12 jobs Flex vacation | 11 jobs Salary bonus | 10 jobs Startup environment | 9 jobs Medical leave | 9 jobs Parental leave | 5 jobs Unlimited paid time off | 5 jobs 401(k) matching | 4 jobs Team events | 4 jobs Transparency | 2 jobs Relocation support | 2 jobs Snacks / Drinks | 2 jobs Wellness | 1 jobs Fitness / gym | 1 jobs Pet friendly | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Data Integration Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual contributions, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, providing long-term incentives aligned with company growth.

Regional differences also play a significant role; for instance, salaries in tech hubs like San Francisco or New York are generally higher due to the cost of living and competitive job markets. Industry-wise, sectors like finance and technology tend to offer higher compensation compared to others. Company size can also influence salary composition, with larger companies often providing more comprehensive benefits and bonuses.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and data integration. Specializing in niche areas can make you more valuable.
• Leadership Roles: Transition into leadership or managerial roles, which typically offer higher salaries. This might involve leading a team of engineers or managing larger projects.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Negotiation: Improve your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.
• Certifications: Obtain advanced certifications that are recognized in the industry, which can justify a higher salary.

Educational Requirements

Most Senior-level Data Integration Engineer positions require at least a bachelor's degree in computer science, information technology, data science, or a related field. A master's degree or higher can be advantageous, especially in competitive markets or for roles with a strong focus on AI/ML. Advanced degrees often provide deeper knowledge and research experience, which can be crucial for complex data integration tasks.

Helpful Certifications

Certifications can enhance your credibility and demonstrate expertise in specific areas. Some valuable certifications include:

• Certified Data Management Professional (CDMP): Focuses on data management skills.
• AWS Certified Big Data – Specialty: Validates expertise in using AWS data services.
• Google Professional Data Engineer: Demonstrates proficiency in designing data processing systems.
• Microsoft Certified: Azure Data Engineer Associate: Focuses on Azure data services.

These certifications can help differentiate you from other candidates and may lead to higher salary offers.

Required Experience

Typically, a Senior-level Data Integration Engineer is expected to have at least 5-10 years of experience in data engineering, data integration, or related fields. This experience should include hands-on work with data integration tools, ETL processes, and data warehousing solutions. Experience with cloud platforms and big data technologies is increasingly important. Leadership experience, such as leading projects or mentoring junior engineers, is also highly valued.

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