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

Salary details

The average mid-level / intermediate Data Integration Engineer salary lies between USD 86,700 and USD 132,974 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. 1, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Data Integration Engineer job listings are SQL, Engineering and Python. 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 | 32 jobs Engineering | 30 jobs Python | 22 jobs Computer Science | 21 jobs ETL | 17 jobs APIs | 13 jobs Security | 12 jobs Architecture | 11 jobs Azure | 11 jobs AWS | 10 jobs Agile | 10 jobs Pipelines | 10 jobs JSON | 9 jobs Testing | 9 jobs XML | 9 jobs Oracle | 8 jobs Business Intelligence | 8 jobs Consulting | 8 jobs Data pipelines | 8 jobs Data analysis | 8 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Data Integration Engineer job listings are Career development, Health care and Flex hours. 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 | 18 jobs Health care | 14 jobs Flex hours | 9 jobs Flex vacation | 9 jobs Startup environment | 9 jobs Equity / stock options | 8 jobs Insurance | 7 jobs Team events | 6 jobs Wellness | 5 jobs Competitive pay | 5 jobs Home office stipend | 5 jobs Snacks / Drinks | 4 jobs Salary bonus | 4 jobs Parental leave | 3 jobs Yoga | 3 jobs Medical leave | 2 jobs Flat hierarchy | 1 jobs Relocation support | 1 jobs

Salary Composition

The salary for a Mid-level Data Integration Engineer typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary often constitutes the majority of the total compensation package, usually around 70-80%. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the total salary. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement plans, can make up the remaining 5-10%.

Regional differences also play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options due to the high cost of living and competitive job market. In contrast, companies in smaller cities or regions might offer a more balanced package with a focus on benefits. Industry-wise, tech companies and financial institutions often provide more lucrative bonuses and stock options compared to sectors like healthcare or education. Larger companies might offer more comprehensive benefits and stock options, while smaller companies might focus on higher base salaries to attract talent.

Increasing Salary

To increase your salary from a Mid-level Data Integration Engineer position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to data integration, such as cloud platforms, big data technologies, and machine learning frameworks. This can make you more valuable to your current or potential employers.

• Advanced Education: Pursuing advanced degrees, such as a Master's in Data Science or a related field, can open up higher-paying opportunities and leadership roles.

• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

• Networking: Building a strong professional network can lead to new job opportunities with higher salaries. Attend industry conferences, join professional organizations, and engage with online communities.

• Performance and Negotiation: Consistently exceed performance expectations and be prepared to negotiate your salary during performance reviews or when offered a new position.

Educational Requirements

Most Mid-level Data Integration Engineer 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 roles that involve complex data integration tasks or leadership responsibilities. Coursework in database management, data structures, algorithms, and programming languages is often essential.

Helpful Certifications

Several certifications can be beneficial for a Data Integration Engineer:

• Certified Data Management Professional (CDMP): This certification demonstrates expertise in data management and governance.

• Microsoft Certified: Azure Data Engineer Associate: Useful for roles involving cloud-based data integration.

• AWS Certified Data Analytics – Specialty: Beneficial for positions that require working with AWS data services.

• Google Professional Data Engineer: Ideal for roles involving Google Cloud Platform.

• Informatica Certified Professional: Relevant for positions using Informatica tools for data integration.

Required Experience

Typically, a Mid-level Data Integration Engineer is expected to have 3-5 years of experience in data integration, data engineering, or a related field. Experience with ETL (Extract, Transform, Load) processes, data warehousing, and working with large datasets is often required. Familiarity with data integration tools and platforms, such as Informatica, Talend, or Apache NiFi, is also commonly expected.

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