Data Infrastructure Engineer Salary in United States during 2023

Salary details

The average Data Infrastructure Engineer salary lies between USD 151,090 and USD 190,000 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

Salary trend

Top 20 Job Tags for Data Infrastructure Engineer roles

The three most common job tag items assiciated with Data Infrastructure Engineer job listings are AWS, Python and Pipelines. 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:

AWS | 27 jobs Python | 26 jobs Pipelines | 24 jobs Engineering | 23 jobs SQL | 21 jobs Kafka | 20 jobs Architecture | 19 jobs Terraform | 19 jobs Spark | 18 jobs Machine Learning | 17 jobs Kubernetes | 17 jobs GCP | 17 jobs Privacy | 15 jobs Security | 14 jobs Data pipelines | 14 jobs Java | 14 jobs Data warehouse | 13 jobs Azure | 12 jobs NoSQL | 11 jobs Snowflake | 11 jobs

Top 20 Job Perks/Benefits for Data Infrastructure Engineer roles

The three most common job benefits and perks assiciated with Data Infrastructure Engineer job listings are Career development, Health care and Equity / stock options. 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:

Career development | 20 jobs Health care | 15 jobs Equity / stock options | 13 jobs Startup environment | 13 jobs Flex hours | 10 jobs Parental leave | 9 jobs Flex vacation | 8 jobs Competitive pay | 7 jobs Team events | 7 jobs Medical leave | 7 jobs Insurance | 6 jobs Unlimited paid time off | 6 jobs Gear | 5 jobs 401(k) matching | 4 jobs Home office stipend | 4 jobs Wellness | 3 jobs Salary bonus | 3 jobs Signing bonus | 2 jobs Relocation support | 1 jobs Fertility benefits | 1 jobs

Salary Composition for Data Infrastructure Engineers

The salary for a Data Infrastructure Engineer in the United States 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 industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might be more substantial compared to other areas. Larger companies or those in high-demand industries such as tech or finance may offer more competitive packages, including higher bonuses and stock options, compared to smaller companies or those in less competitive industries.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills with the latest technologies and tools in data infrastructure and cloud computing.
• Advanced Education: Pursue advanced degrees or specialized certifications that can set you apart.
• Leadership Roles: Aim for leadership or managerial roles that come with higher responsibilities and pay.
• Industry Transition: Consider moving to industries that pay higher for similar roles, such as finance or tech.
• Networking: Build a strong professional network to learn about higher-paying opportunities and negotiate better offers.

Educational Requirements

Most Data Infrastructure Engineer positions require at least a bachelor's degree in computer science, information technology, or a related field. Some employers may prefer candidates with a master's degree, especially for more senior roles. A strong foundation in computer science principles, data management, and systems architecture is essential.

Helpful Certifications

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

• AWS Certified Solutions Architect
• Google Cloud Professional Data Engineer
• Microsoft Certified: Azure Data Engineer Associate
• Certified Kubernetes Administrator (CKA)
• Cloudera Certified Professional (CCP) Data Engineer

These certifications can validate your skills in cloud platforms and data engineering, making you a more attractive candidate.

Experience Requirements

Typically, employers look for candidates with 3-5 years of experience in data engineering, software development, or IT infrastructure roles. Experience with cloud platforms, big data technologies, and database management is often required. For senior positions, 5-10 years of experience with demonstrated leadership in projects or teams may be necessary.

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