Data Integration Specialist Salary in 2023

Salary details

The average Data Integration Specialist salary lies between USD 46,400 and USD 115,000 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: Nov. 24, 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, APIs and MySQL. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

SQL | 13 jobs APIs | 9 jobs MySQL | 4 jobs JSON | 4 jobs Excel | 4 jobs MS SQL | 4 jobs Computer Science | 4 jobs Python | 3 jobs ETL | 3 jobs Oracle | 3 jobs Talend | 3 jobs XML | 3 jobs Git | 3 jobs Jira | 3 jobs CSV | 3 jobs RDBMS | 3 jobs HL7 | 3 jobs Java | 3 jobs R | 2 jobs JavaScript | 2 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 Flex hours, Career development and Salary bonus. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Flex hours | 7 jobs Career development | 7 jobs Salary bonus | 7 jobs Flex vacation | 6 jobs Health care | 5 jobs 401(k) matching | 4 jobs Parental leave | 4 jobs Startup environment | 4 jobs Medical leave | 4 jobs Insurance | 3 jobs Competitive pay | 2 jobs Team events | 2 jobs Equity / stock options | 1 jobs Fitness / gym | 1 jobs Relocation support | 1 jobs

Salary Composition for a Data Integration Specialist

The salary composition for a Data Integration Specialist can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In regions with a high cost of living or in industries like finance and technology, the base salary might be higher. Bonuses are often performance-based and can range from 5% to 20% of the base salary, depending on the company's profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech startups, or other benefits like health insurance, retirement contributions, and professional development allowances. Larger companies might offer more comprehensive benefits packages, while smaller companies might provide more flexibility or equity options.

Steps to Increase Salary from a Data Integration Specialist Position

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

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to data integration, such as cloud platforms, data lakes, and ETL tools.
• Advanced Education: Pursue advanced degrees or certifications in data science, machine learning, or related fields to enhance your qualifications.
• 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 often come with higher pay.
• Industry Transition: Consider transitioning to industries that pay higher salaries for data integration roles, such as finance or tech.

Educational Requirements for a Data Integration Specialist

Most Data Integration Specialist positions require at least a bachelor's degree in computer science, information technology, data science, or a related field. Some employers may prefer candidates with a master's degree, especially for more senior roles. A strong foundation in database management, data warehousing, and programming languages is essential. Courses in statistics, machine learning, and data analytics can also be beneficial.

Helpful Certifications for a Data Integration Specialist

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

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

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

Experience Required for a Data Integration Specialist

Typically, employers look for candidates with 3-5 years of experience in data integration or related fields. Experience with data integration tools like Informatica, Talend, or Apache Nifi is often required. Familiarity with SQL, ETL processes, and data warehousing concepts is also important. Experience in managing data pipelines and working with cloud platforms like AWS, Azure, or Google Cloud can be advantageous.

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