Salary for Executive-level / Director Data Integration Engineer in United States during 2024

Salary details

The average executive-level / director Data Integration Engineer salary lies between USD 134,000 and USD 180,000 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 Executive-level / Director Data Integration Engineer roles

The three most common job tag items assiciated with executive-level / director Data Integration Engineer job listings are Python, API Development and FinTech. 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:

Python | 4 jobs API Development | 3 jobs FinTech | 3 jobs APIs | 3 jobs RDBMS | 3 jobs FastAPI | 3 jobs ETL | 1 jobs Oracle | 1 jobs SQL | 1 jobs AWS | 1 jobs Banking | 1 jobs Security | 1 jobs Testing | 1 jobs Architecture | 1 jobs Informatica | 1 jobs Data analysis | 1 jobs DB2 | 1 jobs Computer Science | 1 jobs ELT | 1 jobs Data governance | 1 jobs

Top 20 Job Perks/Benefits for Executive-level / Director Data Integration Engineer roles

The three most common job benefits and perks assiciated with executive-level / director Data Integration Engineer job listings are Parental leave, Health care and Salary bonus. 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:

Parental leave | 4 jobs Health care | 4 jobs Salary bonus | 4 jobs Equity / stock options | 3 jobs Startup environment | 3 jobs Unlimited paid time off | 3 jobs Wellness | 1 jobs Career development | 1 jobs Competitive pay | 1 jobs Team events | 1 jobs Medical leave | 1 jobs

Salary Composition for Executive-Level Data Integration Engineer

In the United States, the salary for an Executive-level or Director Data Integration Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can account for 10% to 20%, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, profit-sharing, or other incentives, can make up the remaining 5% to 10%.

The composition can vary significantly based on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York may offer higher base salaries and more lucrative stock options. In contrast, companies in the Midwest might offer a more balanced package with a focus on bonuses. Larger companies often provide more comprehensive benefits and stock options, while smaller firms might offer higher base salaries to attract top talent.

Steps to Increase Salary from This Position

To increase your salary beyond the median of USD 150,000, consider the following strategies:

• Expand Your Skill Set: Continuously update your technical skills, especially in emerging AI/ML technologies and data integration tools. This can make you more valuable to your current or potential employers.
• Pursue Advanced Education: Consider obtaining an advanced degree, such as a Master's or Ph.D., in a relevant field. This can open doors to higher-level positions and salary brackets.
• Seek Leadership Roles: Take on more responsibilities or leadership roles within your organization. Demonstrating your ability to lead teams and projects can justify a higher salary.
• Network and Build Industry Connections: Engage with industry professionals through conferences, seminars, and online platforms. Networking can lead to new opportunities and insights into higher-paying roles.
• Negotiate Effectively: When discussing salary, be prepared with data on industry standards and your contributions to the company. Effective negotiation can lead to better compensation packages.

Educational Requirements

Most executive-level positions in AI/ML/Data Science, including Director Data Integration Engineer roles, require at least a bachelor's degree in computer science, data science, engineering, or a related field. However, a master's degree or even a Ph.D. is often preferred, especially for roles that involve strategic decision-making and leadership. Advanced degrees provide a deeper understanding of complex data systems and analytical techniques, which are crucial for high-level positions.

Helpful Certifications

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

• Certified Data Management Professional (CDMP)
• Certified Information Systems Security Professional (CISSP)
• AWS Certified Big Data – Specialty
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Engineer Associate

These certifications can validate your skills in data management, security, and cloud-based data solutions, making you a more attractive candidate for executive roles.

Required Experience

Typically, candidates for an executive-level data integration role are expected to have at least 10 to 15 years of experience in data engineering, data integration, or related fields. This experience should include a proven track record of managing complex data projects, leading teams, and implementing data integration solutions. Experience in strategic planning and decision-making is also crucial, as these roles often involve shaping the data strategy of an organization.

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