Data Integration Developer Salary in United States during 2024

Salary details

The average Data Integration Developer salary lies between USD 92,400 and USD 173,689 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: Dec. 22, 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

In the United States, the salary composition for a Data Integration Developer in AI/ML/Data Science typically includes a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses and stock options might form a larger portion of the compensation package compared to other regions. Larger companies or those in high-demand industries like tech or finance may offer more competitive bonuses and additional benefits, whereas smaller companies might focus more on the base salary.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree in data science or a related field. Gaining expertise in high-demand areas like machine learning, big data analytics, or cloud computing can make you more valuable. Networking within the industry and seeking mentorship can also open up opportunities for advancement. Additionally, taking on leadership roles or projects that demonstrate your ability to drive business value can position you for promotions or salary negotiations.

Educational Requirements

Most Data Integration Developer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, information technology, data science, or a related field. Some positions may prefer or require a master's degree, especially for more advanced roles. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for data integration and analysis tasks.

Helpful Certifications

Certifications can enhance your qualifications 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 can validate your skills in data integration, cloud platforms, and data engineering, making you a more attractive candidate to employers.

Experience Requirements

Typically, employers look for candidates with at least 3-5 years of experience in data integration, data engineering, or a related field. Experience with data integration tools like Informatica, Talend, or Apache Nifi is often required. Familiarity with programming languages such as Python, SQL, and Java, as well as experience with cloud platforms like AWS, Azure, or Google Cloud, is also highly valued.

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