Salary for Senior-level / Expert ETL Developer in United States during 2024

Salary details

The average senior-level / expert ETL Developer salary lies between USD 99,500 and USD 140,000 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 Senior-level / Expert ETL Developer roles

The three most common job tag items assiciated with senior-level / expert ETL Developer job listings are ETL, SQL and Python. 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 | 59 jobs SQL | 48 jobs Python | 28 jobs Agile | 28 jobs Engineering | 27 jobs Testing | 26 jobs Architecture | 23 jobs Computer Science | 23 jobs Oracle | 19 jobs Security | 19 jobs Informatica | 19 jobs Data warehouse | 18 jobs Azure | 16 jobs SSIS | 16 jobs Data Warehousing | 15 jobs AWS | 15 jobs Power BI | 14 jobs Data analysis | 14 jobs Data quality | 14 jobs Shell scripting | 14 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert ETL Developer roles

The three most common job benefits and perks assiciated with senior-level / expert ETL Developer job listings are Career development, Health care 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:

Career development | 20 jobs Health care | 11 jobs Flex hours | 8 jobs Competitive pay | 8 jobs Team events | 8 jobs Equity / stock options | 5 jobs Medical leave | 5 jobs Wellness | 4 jobs Startup environment | 4 jobs Relocation support | 3 jobs Insurance | 3 jobs Salary bonus | 3 jobs Transparency | 2 jobs Lunch / meals | 1 jobs Parental leave | 1 jobs Flex vacation | 1 jobs Snacks / Drinks | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

In the United States, the salary composition for a Senior-level or Expert ETL Developer in AI/ML/Data Science typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, usually accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets. Similarly, larger companies may offer more comprehensive compensation packages compared to smaller firms.

Increasing Salary Potential

To increase your salary further from this position, consider pursuing advanced roles such as Data Architect, Machine Learning Engineer, or AI Specialist. These roles often come with higher compensation due to their increased responsibility and technical demands. Additionally, gaining expertise in emerging technologies like deep learning, natural language processing, or big data analytics can make you more valuable to employers. Networking within industry groups and attending conferences can also open up opportunities for higher-paying positions. Finally, consider negotiating your salary by leveraging offers from other companies or demonstrating your impact on business outcomes in your current role.

Educational Requirements

For a Senior-level or Expert ETL Developer in AI/ML/Data Science, a bachelor's degree in computer science, information technology, or a related field is typically required. However, many employers prefer candidates with a master's degree in data science, computer science, or a related discipline, as it provides a deeper understanding of complex data systems and algorithms. Advanced degrees can also help differentiate candidates in a competitive job market.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your commitment to professional development. Some common and beneficial certifications include:

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

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

Required Experience

Typically, a Senior-level or Expert ETL Developer is expected to have at least 5 to 10 years of experience in data engineering, ETL processes, or related fields. This experience should include a strong background in designing and implementing ETL pipelines, working with large datasets, and proficiency in programming languages such as Python, SQL, or Java. Experience with cloud platforms like AWS, Azure, or Google Cloud is also highly valued, as many companies are transitioning to cloud-based data solutions.

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