Data Integration Engineer Salary in United States during 2024

Salary details

The average Data Integration Engineer salary lies between USD 100,000 and USD 150,000 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: Nov. 17, 2024

Top 20 Job Tags for Data Integration Engineer roles

The three most common job tag items assiciated with 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 | 81 jobs Engineering | 75 jobs Python | 65 jobs Computer Science | 57 jobs ETL | 54 jobs Security | 43 jobs Pipelines | 43 jobs APIs | 42 jobs Azure | 39 jobs AWS | 38 jobs Architecture | 37 jobs Oracle | 28 jobs Data pipelines | 28 jobs Agile | 28 jobs Java | 26 jobs Testing | 24 jobs DevOps | 24 jobs Data quality | 22 jobs RDBMS | 21 jobs Linux | 20 jobs

Top 20 Job Perks/Benefits for Data Integration Engineer roles

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

Health care | 48 jobs Career development | 47 jobs Flex hours | 33 jobs Equity / stock options | 25 jobs Startup environment | 24 jobs Competitive pay | 24 jobs Flex vacation | 20 jobs Salary bonus | 20 jobs Insurance | 19 jobs Parental leave | 13 jobs Medical leave | 12 jobs Team events | 11 jobs Wellness | 8 jobs Unlimited paid time off | 8 jobs Snacks / Drinks | 6 jobs Home office stipend | 5 jobs 401(k) matching | 4 jobs Relocation support | 3 jobs Yoga | 3 jobs Transparency | 2 jobs

Salary Composition for a Data Integration Engineer

The salary for a Data Integration Engineer 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 largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and the specific industry. For instance, tech companies, especially in regions like Silicon Valley, may offer substantial bonuses and stock options as part of their compensation packages. In contrast, smaller companies or those in less competitive regions might offer a higher base salary with smaller bonuses. Additionally, benefits such as health insurance, retirement plans, and professional development opportunities can also be significant components of the overall remuneration.

Steps to Increase Salary from This Position

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

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging technologies and tools relevant to data integration and AI/ML.
• Advanced Education: Pursue advanced degrees or specialized certifications that can make you more valuable to employers.
• Networking: Build a strong professional network within the industry to learn about new opportunities and trends.
• Leadership Roles: Seek opportunities to take on leadership roles or manage projects, which can lead to higher-paying positions.
• Industry Transition: Consider transitioning to industries that offer higher compensation for similar roles, such as finance or healthcare.

Educational Requirements

Most 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. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for handling data integration tasks effectively.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and make you more competitive in the job market. 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 demonstrate your expertise in data management and integration tools and platforms, which are crucial for the role.

Required Experience

Typically, employers look for candidates with at least 3-5 years of experience in data integration, data engineering, or related fields. Experience with specific data integration tools and platforms, such as Informatica, Talend, or Apache Kafka, is often required. Additionally, experience in working with large datasets, cloud platforms, and understanding of data warehousing concepts can be highly beneficial.

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