Data Integration Specialist Salary in United States during 2024

Salary details

The average Data Integration Specialist salary lies between USD 77,040 and USD 105,000 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: Dec. 22, 2024

Salary trend

Top 20 Job Tags for Data Integration Specialist roles

The three most common job tag items assiciated with Data Integration Specialist job listings are SQL, Python 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 | 29 jobs Python | 26 jobs ETL | 21 jobs Engineering | 21 jobs APIs | 21 jobs Architecture | 20 jobs Pipelines | 19 jobs Data quality | 19 jobs Data management | 18 jobs Testing | 17 jobs Excel | 16 jobs Research | 15 jobs AWS | 13 jobs Security | 13 jobs Computer Science | 13 jobs RDBMS | 12 jobs Data pipelines | 11 jobs Unstructured data | 11 jobs Agile | 11 jobs Consulting | 10 jobs

Top 20 Job Perks/Benefits for Data Integration Specialist roles

The three most common job benefits and perks assiciated with Data Integration Specialist job listings are Career development, Health care and Competitive pay. 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:

Career development | 26 jobs Health care | 21 jobs Competitive pay | 17 jobs Team events | 13 jobs Insurance | 11 jobs Salary bonus | 8 jobs 401(k) matching | 7 jobs Flex hours | 7 jobs Medical leave | 7 jobs Startup environment | 5 jobs Equity / stock options | 4 jobs Flex vacation | 4 jobs Wellness | 3 jobs Parental leave | 2 jobs Yoga | 2 jobs Flexible spending account | 2 jobs Fitness / gym | 1 jobs Relocation support | 1 jobs Snacks / Drinks | 1 jobs Pet friendly | 1 jobs

Salary Composition for a Data Integration Specialist

The salary for a Data Integration Specialist in the AI/ML/Data Science field typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms 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 might be more substantial compared to other regions. Additional remuneration can include stock options, especially in startups or tech companies, and benefits such as health insurance, retirement plans, and paid time off. Larger companies might offer more comprehensive benefits packages, while smaller companies might compensate with higher base salaries or equity options.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in the latest data integration tools and technologies. Proficiency in cloud platforms like AWS, Azure, or Google Cloud can be particularly valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends.
• Performance Excellence: Consistently exceed performance expectations and take on challenging projects to demonstrate your value.
• Negotiation: When discussing salary, be prepared to negotiate based on your contributions and market research.

Educational Requirements

Most Data Integration Specialist roles require at least a bachelor's degree in computer science, information technology, data science, or a related field. Some positions might prefer candidates with a master's degree, especially for roles that involve complex data systems or leadership responsibilities. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications

Certifications can enhance your credibility and demonstrate your expertise. Some valuable certifications include:

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

These certifications can help you stand out in the job market and may lead to higher salary offers.

Experience Requirements

Typically, employers look for candidates with 3-5 years of experience in data integration or related fields. Experience with data warehousing, ETL processes, and data modeling is often required. Familiarity with specific tools and platforms, such as Informatica, Talend, or Apache Kafka, can be advantageous. Experience in managing large datasets and working in cross-functional teams is also valuable.

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