ETL Engineer Salary in 2024

Salary details

The average ETL Engineer salary lies between USD 75,600 and USD 150,000 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: Dec. 15, 2024

Top 20 Job Tags for ETL Engineer roles

The three most common job tag items assiciated with ETL Engineer job listings are ETL, Python and SQL. 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:

ETL | 44 jobs Python | 37 jobs SQL | 35 jobs Engineering | 30 jobs AWS | 28 jobs Computer Science | 28 jobs Security | 24 jobs Agile | 24 jobs Oracle | 21 jobs Java | 20 jobs Pipelines | 19 jobs Data warehouse | 16 jobs Big Data | 15 jobs Linux | 15 jobs Spark | 14 jobs PostgreSQL | 14 jobs Architecture | 13 jobs Azure | 13 jobs Snowflake | 13 jobs Data Warehousing | 12 jobs

Top 20 Job Perks/Benefits for ETL Engineer roles

The three most common job benefits and perks assiciated with ETL 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 | 24 jobs Career development | 23 jobs Flex hours | 17 jobs Medical leave | 15 jobs 401(k) matching | 13 jobs Startup environment | 12 jobs Equity / stock options | 11 jobs Parental leave | 10 jobs Competitive pay | 10 jobs Insurance | 9 jobs Wellness | 8 jobs Team events | 8 jobs Conferences | 4 jobs Salary bonus | 4 jobs Flex vacation | 3 jobs Transparency | 3 jobs Flexible spending account | 3 jobs Unlimited paid time off | 3 jobs Relocation support | 1 jobs Home office stipend | 1 jobs

Salary Composition for ETL Engineers in AI/ML/Data Science

The salary composition for ETL Engineers in AI/ML/Data Science roles can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. In the United States, for instance, the base salary might account for 70-80% of the total compensation. Bonuses, which can be performance-based or company-wide, often make up 10-20% of the total package. Additional remuneration may include stock options, especially in tech companies or startups, and other benefits like health insurance, retirement contributions, and professional development allowances. In regions with a high cost of living, such as the San Francisco Bay Area, the base salary might be higher, but the overall composition remains similar. In contrast, smaller companies or those in less competitive regions might offer a lower base salary but compensate with higher equity options or bonuses.

Steps to Increase Salary from an ETL Engineer Position

To increase your salary from an ETL Engineer position, consider the following strategies:

• Skill Enhancement: Acquire advanced skills in AI/ML and data science, such as machine learning algorithms, data modeling, and big data technologies. Proficiency in programming languages like Python and R can also be beneficial.
• Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends in the industry.
• Advanced Education: Pursue further education, such as a master's degree in data science or a related field, to qualify for higher-level positions.
• Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher compensation.

Educational Requirements for ETL Engineers in AI/ML/Data Science

Most ETL Engineer positions in AI/ML/Data Science require at least a bachelor's degree in computer science, information technology, data science, 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 roles that involve complex data analysis or machine learning tasks. Additionally, coursework or experience in database management, data warehousing, and data integration is often essential.

Helpful Certifications for ETL Engineers

Several certifications can enhance your qualifications as an ETL Engineer in AI/ML/Data Science:

• Certified Data Management Professional (CDMP): Validates your expertise in data management.
• Microsoft Certified: Azure Data Engineer Associate: Demonstrates proficiency in using Azure for data engineering tasks.
• AWS Certified Data Analytics – Specialty: Focuses on data analytics and data engineering on the AWS platform.
• Google Professional Data Engineer: Certifies your ability to design, build, and operationalize data processing systems on Google Cloud.

Experience Requirements for ETL Engineers

Typically, ETL Engineer roles require 3-5 years of experience in data engineering, data warehousing, or a related field. Experience with ETL tools such as Informatica, Talend, or Apache NiFi is often necessary. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as experience in scripting and programming, is also commonly required. For more senior positions, 5-7 years of experience with demonstrated leadership in projects may be expected.

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