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

Salary details

The average senior-level / expert Data Integration Developer salary lies between USD 105,267 and USD 173,689 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 Senior-level / Expert Data Integration Developer roles

The three most common job tag items assiciated with senior-level / expert Data Integration Developer job listings are ETL, SQL and SDLC. 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:

ETL | 16 jobs SQL | 13 jobs SDLC | 12 jobs Security | 11 jobs Computer Science | 11 jobs Data Warehousing | 10 jobs Architecture | 10 jobs Data quality | 9 jobs Engineering | 8 jobs Data pipelines | 8 jobs Snowflake | 8 jobs Pipelines | 8 jobs Data management | 8 jobs Mathematics | 8 jobs Data warehouse | 8 jobs Oracle | 7 jobs Talend | 7 jobs Informatica | 7 jobs Jira | 7 jobs CI/CD | 7 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Integration Developer job listings are Health care, Career development and Wellness. 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 | 8 jobs Career development | 8 jobs Wellness | 6 jobs Team events | 2 jobs Flex hours | 1 jobs Competitive pay | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Data Integration Developer in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations, especially in finance or healthcare, profit-sharing or retirement contributions might be more prevalent. Regional differences also play a role; for instance, salaries in major tech hubs like San Francisco or New York are generally higher than in smaller cities.

Increasing Salary Further

To increase your salary beyond the median of USD 138,528, consider pursuing leadership roles such as a Data Science Manager or Director of Data Integration. Specializing in high-demand areas like machine learning engineering or AI ethics can also command higher salaries. Networking within industry-specific conferences and workshops can open doors to higher-paying opportunities. Additionally, negotiating your salary during job offers or performance reviews by showcasing your contributions and market research can lead to better compensation packages.

Educational Requirements

Most Senior-level Data Integration Developer roles require at least a bachelor's degree in computer science, data science, information technology, or a related field. However, a master's degree or Ph.D. can be advantageous, especially in competitive markets or for roles with a strong emphasis on research and development. Advanced degrees often provide a deeper understanding of complex algorithms and data structures, which are crucial in AI/ML roles.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:

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

These certifications validate your skills in data integration, cloud platforms, and big data technologies, which are essential in AI/ML roles.

Required Experience

Typically, a Senior-level Data Integration Developer is expected to have 5-10 years of experience in data engineering, data integration, or related fields. Experience with ETL processes, data warehousing, and working with large datasets is crucial. Familiarity with programming languages such as Python, SQL, and Java, as well as experience with data integration tools like Informatica or Talend, is often required. Leadership experience or a proven track record of managing complex projects can also be beneficial.

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