ETL Developer Salary in United States during 2023

Salary details

The average ETL Developer salary lies between USD 99,500 and USD 143,800 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: Dec. 22, 2024

Salary trend

Top 20 Job Tags for ETL Developer roles

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

ETL | 88 jobs SQL | 74 jobs Python | 39 jobs Agile | 38 jobs Computer Science | 37 jobs Azure | 35 jobs Testing | 34 jobs Data warehouse | 29 jobs Architecture | 26 jobs Informatica | 25 jobs SSIS | 25 jobs Oracle | 24 jobs AWS | 24 jobs Talend | 24 jobs Jira | 24 jobs Data Warehousing | 22 jobs Engineering | 22 jobs Snowflake | 22 jobs Big Data | 19 jobs Security | 19 jobs

Top 20 Job Perks/Benefits for ETL Developer roles

The three most common job benefits and perks assiciated with ETL Developer job listings are Career development, Team events and Health care. 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 | 40 jobs Team events | 23 jobs Health care | 22 jobs Startup environment | 17 jobs Competitive pay | 17 jobs Salary bonus | 14 jobs Insurance | 13 jobs Flex hours | 9 jobs Equity / stock options | 7 jobs Wellness | 6 jobs Relocation support | 4 jobs Medical leave | 4 jobs Flex vacation | 3 jobs Flat hierarchy | 2 jobs Fitness / gym | 2 jobs 401(k) matching | 1 jobs Parental leave | 1 jobs Gear | 1 jobs Flexible spending account | 1 jobs Unlimited paid time off | 1 jobs

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

The salary composition for ETL Developers in the AI/ML/Data Science field 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 addition to the base salary, many companies offer performance-based bonuses, which can range from 5% to 20% of the base salary, depending on the company's performance and the individual's contribution. Additional remuneration may include stock options or equity, especially in tech startups or larger tech companies, and benefits such as health insurance, retirement plans, and paid time off. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, salaries tend to be higher to compensate for living expenses. Similarly, larger companies or those in competitive industries like finance or technology may offer more lucrative compensation packages.

Steps to Increase Salary from an ETL Developer Position

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

• Skill Enhancement: Acquire advanced skills in data science, machine learning, or big data technologies. Proficiency in tools like Apache Spark, Hadoop, or cloud platforms such as AWS, Azure, or Google Cloud can make you more valuable.
• Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to professional growth.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends in the industry.
• Advanced Education: Consider pursuing a master's degree or specialized courses in data science or machine learning.
• Leadership Roles: Aim for roles that offer leadership responsibilities, such as team lead or project manager, which often come with higher pay.

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

Most ETL Developer 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 in data science, computer science, or a related discipline can be advantageous and may be preferred by some employers. A strong foundation in mathematics, statistics, and programming is essential, as these skills are critical for data manipulation and analysis.

Helpful Certifications for ETL Developers

Several certifications can enhance your credentials as an ETL Developer in AI/ML/Data Science:

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

Experience Requirements for ETL Developers

Typically, ETL Developer roles require 2-5 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 required. Familiarity with SQL, Python, or other programming languages is also important. Experience in handling large datasets and working with cloud-based data solutions can be a significant advantage.

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