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

Salary details

The average senior-level / expert Data Integration Engineer salary lies between USD 100,000 and USD 175,000 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 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 in the AI/ML/Data Science field typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-85% of the total compensation package. Bonuses, which can be performance-based or tied to company success, usually make up 10-20% of the total salary. Additional remuneration might include stock options, especially in tech companies, and other benefits such as health insurance, retirement contributions, and paid time off. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options, while smaller companies might provide more substantial bonuses to attract talent.

Increasing Salary Potential

To increase your salary from this position, consider pursuing leadership roles such as Data Integration Manager or Director of Data Engineering. These roles often come with higher pay and more responsibilities. Additionally, specializing in high-demand areas like machine learning integration or cloud data solutions can make you more valuable. Networking within industry groups and attending conferences can also open up opportunities for higher-paying positions. Finally, continuous learning and staying updated with the latest technologies and methodologies in data integration can make you a more competitive candidate for salary negotiations.

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. However, a master's degree or even a Ph.D. can be advantageous, especially for roles that require a deep understanding of complex data systems and algorithms. Advanced degrees can also provide a competitive edge in salary negotiations and open doors to more strategic roles within an organization.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable certifications for this role include:

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

These certifications can validate your skills in data integration and management, making you a more attractive candidate to potential employers.

Required Experience

Typically, a Senior-level Data Integration Engineer is expected to have at least 5-10 years of experience in data engineering or related fields. This experience should include hands-on work with data integration tools, ETL processes, and data warehousing solutions. Experience with cloud platforms like AWS, Azure, or Google Cloud is often required, as is familiarity with programming languages such as Python, SQL, and Java. Leadership experience, such as managing projects or mentoring junior engineers, can also be beneficial.

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