Data Engineer Salary in 2022

Salary details

The average Data Engineer salary lies between USD 100,000 and USD 175,000 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. 10, 2024

Salary trend

Top 20 Job Tags for Data Engineer roles

The three most common job tag items assiciated with Data Engineer job listings are Engineering, Python and SQL. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Engineering | 3182 jobs Python | 3142 jobs SQL | 2848 jobs Pipelines | 2738 jobs AWS | 2250 jobs Data pipelines | 1996 jobs ETL | 1894 jobs Spark | 1856 jobs Big Data | 1479 jobs Computer Science | 1438 jobs Machine Learning | 1387 jobs Airflow | 1371 jobs Agile | 1291 jobs Scala | 1103 jobs Kafka | 1100 jobs Architecture | 1090 jobs GCP | 1051 jobs Redshift | 1036 jobs Streaming | 1036 jobs Azure | 999 jobs

Top 20 Job Perks/Benefits for Data Engineer roles

The three most common job benefits and perks assiciated with Data Engineer job listings are Career development, Health care and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 2509 jobs Health care | 1352 jobs Startup environment | 1217 jobs Flex hours | 1171 jobs Team events | 961 jobs Flex vacation | 913 jobs Competitive pay | 839 jobs Equity / stock options | 811 jobs Parental leave | 620 jobs Insurance | 609 jobs Salary bonus | 489 jobs Medical leave | 481 jobs Wellness | 369 jobs 401(k) matching | 342 jobs Home office stipend | 293 jobs Unlimited paid time off | 283 jobs Fitness / gym | 237 jobs Conferences | 225 jobs Gear | 136 jobs Snacks / Drinks | 131 jobs

Salary Composition

The salary composition for a Data Engineer in AI/ML/Data Science typically includes a fixed base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The fixed base salary is the largest component and can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City often offer higher base salaries compared to other regions. Performance bonuses are usually tied to individual or company performance and can range from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in startups or large tech companies and can significantly increase total compensation, especially if the company performs well.

Increasing Salary

To increase your salary from a Data Engineer position, consider the following steps:

• Skill Enhancement: Continuously update your skills with the latest technologies and tools in data engineering, such as cloud platforms (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data warehousing solutions (Snowflake, Redshift).

• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive and open up higher-paying opportunities.

• Networking: Engage with professional networks and communities to learn about new opportunities and trends in the industry.

• Leadership Roles: Aim for leadership or managerial roles, which typically come with higher salaries and additional responsibilities.

• Industry Shift: Consider moving to industries that pay higher salaries for data engineering roles, such as finance, healthcare, or tech.

Educational Requirements

Most Data Engineer positions require at least a bachelor's degree in computer science, information technology, engineering, or a related field. A strong foundation in mathematics and statistics is also beneficial. Some employers may prefer candidates with a master's degree, especially for more advanced roles or in competitive markets.

Helpful Certifications

Certifications can enhance your resume and demonstrate your expertise in specific areas. Some valuable certifications for Data Engineers include:

• Google Professional Data Engineer
• AWS Certified Big Data – Specialty
• Microsoft Certified: Azure Data Engineer Associate
• Cloudera Certified Professional (CCP) Data Engineer

These certifications validate your skills in cloud platforms and big data technologies, which are crucial for data engineering roles.

Experience Requirements

Typically, a Data Engineer role requires 2-5 years of experience in data management, software development, or a related field. Experience with data modeling, ETL processes, and database management is often essential. For senior roles, 5-10 years of experience may be required, along with a proven track record of handling complex data projects.

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