Data Integration Developer Salary in 2024

Salary details

The average Data Integration Developer salary lies between USD 92,400 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 Data Integration Developer roles

The three most common job tag items assiciated with Data Integration Developer job listings are ETL, SQL and Computer Science. 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 | 29 jobs SQL | 27 jobs Computer Science | 23 jobs Architecture | 16 jobs Pipelines | 16 jobs Python | 15 jobs Data Warehousing | 15 jobs Security | 15 jobs Data quality | 15 jobs SDLC | 14 jobs Engineering | 13 jobs Data pipelines | 13 jobs Azure | 13 jobs Data management | 13 jobs Snowflake | 12 jobs Talend | 12 jobs Jira | 12 jobs RDBMS | 12 jobs Mathematics | 11 jobs Informatica | 10 jobs

Top 20 Job Perks/Benefits for Data Integration Developer roles

The three most common job benefits and perks assiciated with 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 | 15 jobs Career development | 14 jobs Wellness | 7 jobs Competitive pay | 5 jobs 401(k) matching | 4 jobs Team events | 4 jobs Flex hours | 3 jobs Unlimited paid time off | 3 jobs Flex vacation | 2 jobs Medical leave | 1 jobs

Salary Composition for a Data Integration Developer

The salary for a Data Integration Developer in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in smaller markets or industries like healthcare or finance might offer a lower base salary but compensate with higher bonuses or comprehensive benefits. Larger companies often provide more structured bonus plans and stock options, while smaller startups might offer equity as a significant part of the compensation to attract talent.

Steps to Increase Salary from This Position

To increase your salary from the position of a Data Integration Developer, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in emerging technologies and tools relevant to AI/ML and data science. Specializing in niche areas can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and open up higher-paying opportunities.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends in the industry.
• Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher pay.
• Industry Transition: Consider moving to industries that pay higher salaries for similar roles, such as finance or tech.

Educational Requirements

Most Data Integration Developer roles require at least a bachelor's degree in computer science, information technology, or a related field. However, a master's degree in data science, AI, or a related discipline can be advantageous and is often preferred by top-tier companies. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications

Certifications can significantly enhance your profile. 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 demonstrate your expertise and commitment to staying updated with industry standards.

Required Experience

Typically, a Data Integration Developer role requires 3-5 years of experience in data integration, ETL processes, and working with data warehouses. Experience with specific tools and platforms like Informatica, Talend, or Apache Kafka is often required. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is increasingly important.

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