Salary for Mid-level / Intermediate Data Integration Specialist during 2024

Salary details

The average mid-level / intermediate Data Integration Specialist salary lies between USD 77,040 and USD 101,365 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. 17, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Integration Specialist roles

The three most common job tag items assiciated with mid-level / intermediate Data Integration Specialist job listings are Python, SQL and APIs. 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:

Python | 14 jobs SQL | 13 jobs APIs | 11 jobs Research | 9 jobs Engineering | 8 jobs Data management | 8 jobs ETL | 7 jobs Unstructured data | 7 jobs Computer Science | 7 jobs AWS | 6 jobs Excel | 6 jobs Data quality | 6 jobs Architecture | 5 jobs Azure | 5 jobs Agile | 5 jobs Pipelines | 5 jobs JavaScript | 4 jobs Data Warehousing | 4 jobs Big Data | 4 jobs Consulting | 4 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Integration Specialist roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 8 jobs Health care | 7 jobs Competitive pay | 4 jobs Wellness | 3 jobs Insurance | 3 jobs 401(k) matching | 2 jobs Flex hours | 2 jobs Team events | 2 jobs Medical leave | 2 jobs Parental leave | 1 jobs Flex vacation | 1 jobs Startup environment | 1 jobs Relocation support | 1 jobs Salary bonus | 1 jobs

Salary Composition

The salary for a Mid-level Data Integration Specialist typically comprises a base salary, performance 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. Performance bonuses can vary significantly depending on the company’s policy and individual performance metrics. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off.

• Region: Salaries can vary widely based on geographic location. For instance, positions in tech hubs like San Francisco or New York often offer higher salaries to account for the higher cost of living.
• Industry: Industries such as finance, healthcare, and technology tend to offer higher salaries due to the critical nature of data integration in these fields.
• Company Size: Larger companies may offer more comprehensive benefits and bonuses, while smaller companies might provide stock options or profit-sharing plans as part of the compensation package.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools related to AI, ML, and data science. Specializing in a niche area can make you more valuable.
• Advanced Education: Pursuing a master’s degree or relevant certifications can enhance your qualifications and make you eligible for higher-paying roles.
• Networking: Building a strong professional network can open up opportunities for higher-paying positions and provide insights into industry trends.
• Leadership Roles: Aim for leadership or managerial roles within your organization, as these positions typically come with higher salaries.

Educational Requirements

Most mid-level data integration specialist roles require at least a bachelor’s degree in computer science, information technology, data science, or a related field. Some positions may prefer candidates with a master’s degree, especially if the role involves complex data integration tasks or leadership responsibilities.

Helpful Certifications

Certifications can significantly enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

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

These certifications validate your skills in data integration, cloud platforms, and data management, making you a more competitive candidate.

Required Experience

Typically, a mid-level data integration specialist is expected to have 3-5 years of experience in data integration, data engineering, or a related field. Experience with specific tools and technologies such as ETL processes, SQL, Python, and data warehousing solutions is often required. Familiarity with cloud platforms like AWS, Azure, or Google Cloud is also advantageous.

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