ETL Engineer Salary in United States during 2024
💰 The median ETL Engineer Salary in United States during 2024 is USD 137,000
✏️ This salary info is based on 5 individual salaries reported during 2024
Salary details
The average ETL Engineer salary lies between USD 75,600 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.
- Job title
- ETL Engineer
- Experience
- all levels
- Region
- United States
- Salary year
- 2024
- Sample size
- 5
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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: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 jobsTop 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 jobsSalary Composition for ETL Engineers in AI/ML/Data Science
The salary for an ETL 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 or startups might offer substantial bonuses or stock options as part of their compensation packages. In contrast, more traditional industries might offer smaller bonuses but more stable base salaries. Additionally, the region plays a crucial role; for example, salaries in tech hubs like Silicon Valley or New York City tend to be higher due to the cost of living and demand for tech talent.
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, data analytics, or cloud computing. Proficiency in tools like TensorFlow, PyTorch, or AWS can make you more valuable.
- Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.
- Networking: Engage with industry professionals through conferences, meetups, or online platforms like LinkedIn to learn about new opportunities.
- Advanced Education: Pursue a master's degree or specialized courses in data science or machine learning.
- Leadership Roles: Aim for leadership or managerial roles that come with higher responsibilities and pay.
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, or a related field. However, a master's degree can be advantageous and is often preferred by employers, especially for roles that involve complex data science tasks or machine learning projects. A strong foundation in mathematics, statistics, and programming is essential.
Helpful Certifications for ETL Engineers
Several certifications can enhance your profile as an ETL Engineer in AI/ML/Data Science:
- Certified Data Management Professional (CDMP)
- AWS Certified Data Analytics
- Google Professional Data Engineer
- Microsoft Certified: Azure Data Engineer Associate
- Cloudera Certified Professional (CCP) Data Engineer
These certifications validate your skills and knowledge, making you a more competitive candidate.
Experience Required for ETL Engineer Roles
Typically, ETL Engineer roles require 3-5 years of experience in data engineering, data warehousing, or a related field. Experience with ETL tools like Informatica, Talend, or Apache NiFi is crucial. Additionally, familiarity with big data technologies such as Hadoop, Spark, or Kafka can be beneficial. Employers often look for candidates who have experience in designing and implementing data pipelines and have a strong understanding of database management systems.
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