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

Salary details

The average mid-level / intermediate Data Infrastructure Engineer salary lies between USD 140,000 and USD 200,000 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

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

The three most common job tag items assiciated with mid-level / intermediate Data Infrastructure Engineer job listings are Python, Engineering and Security. 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 | 12 jobs Engineering | 12 jobs Security | 10 jobs Pipelines | 10 jobs SQL | 9 jobs Data pipelines | 9 jobs Architecture | 9 jobs AWS | 8 jobs Big Data | 7 jobs Kubernetes | 7 jobs Kafka | 6 jobs Azure | 6 jobs Data quality | 6 jobs Spark | 5 jobs Docker | 5 jobs Airflow | 4 jobs Terraform | 4 jobs Computer Science | 4 jobs CI/CD | 4 jobs Data governance | 4 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Data Infrastructure Engineer job listings are Career development, Equity / stock options and Team events. 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 Equity / stock options | 5 jobs Team events | 5 jobs Startup environment | 4 jobs Competitive pay | 4 jobs Gear | 3 jobs Parental leave | 2 jobs Flex hours | 2 jobs Health care | 2 jobs Wellness | 1 jobs Relocation support | 1 jobs Medical leave | 1 jobs Salary bonus | 1 jobs Home office stipend | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Infrastructure Engineer typically comprises several components: a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The fixed base salary often constitutes the majority of the total compensation package, ranging from 60% to 80%. Bonuses can vary significantly depending on the company's performance and individual contributions, usually making up 10% to 20% of the total salary. Additional remuneration, such as stock options, can be a significant part of the package in startups or large tech firms, sometimes accounting for 10% to 20% of the total compensation.

Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York tend to be higher due to the cost of living and competitive job markets. Industry variations are also notable, with finance and tech sectors often offering higher compensation compared to others. Company size can influence salary composition as well, with larger companies typically providing more structured bonus and stock option plans.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to data infrastructure, such as cloud computing, big data technologies, and machine learning frameworks.
• Advanced Education: Pursuing advanced degrees or specialized certifications can make you more competitive and open up higher-paying opportunities.
• Leadership Roles: Transitioning into leadership or managerial roles can significantly boost your salary. This might involve taking on more responsibilities or leading projects.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
• Industry Switch: Moving to a higher-paying industry, such as finance or tech, can also result in a salary increase.

Educational Requirements

Most positions for a Mid-level/Intermediate Data Infrastructure Engineer require at least a bachelor's degree in computer science, information technology, engineering, or a related field. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data systems or require a deep understanding of machine learning and data science principles.

Helpful Certifications

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

• AWS Certified Solutions Architect: Demonstrates proficiency in designing and deploying scalable systems on AWS.
• Google Professional Data Engineer: Validates skills in designing, building, and operationalizing data processing systems.
• Microsoft Certified: Azure Data Engineer Associate: Focuses on implementing data solutions using Azure services.
• Certified Data Management Professional (CDMP): Offers a broad understanding of data management principles.

Required Experience

Typically, a Mid-level/Intermediate Data Infrastructure Engineer is expected to have 3 to 5 years of experience in data engineering, data infrastructure, or a related field. Experience with data warehousing, ETL processes, and cloud platforms is often required. Familiarity with programming languages such as Python, Java, or Scala, and experience with big data technologies like Hadoop or Spark, are also common prerequisites.

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