ETL Developer Salary in United States during 2024

Salary details

The average ETL Developer salary lies between USD 73,332 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. 24, 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 2024 and the number of open jobs that where associated with them during that period:

ETL | 119 jobs SQL | 106 jobs Python | 59 jobs Testing | 54 jobs Engineering | 53 jobs Architecture | 47 jobs Data warehouse | 47 jobs Computer Science | 46 jobs Oracle | 45 jobs Agile | 45 jobs Security | 42 jobs Informatica | 39 jobs Data Warehousing | 36 jobs Azure | 33 jobs SSIS | 33 jobs AWS | 30 jobs Java | 28 jobs Business Intelligence | 27 jobs Snowflake | 27 jobs Data quality | 27 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, 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 | 52 jobs Health care | 24 jobs Flex hours | 20 jobs Competitive pay | 17 jobs Team events | 16 jobs Equity / stock options | 13 jobs Medical leave | 10 jobs Insurance | 10 jobs Startup environment | 9 jobs Flex vacation | 8 jobs Parental leave | 7 jobs Wellness | 6 jobs Salary bonus | 5 jobs 401(k) matching | 4 jobs Transparency | 3 jobs Relocation support | 3 jobs Lunch / meals | 1 jobs Gear | 1 jobs Conferences | 1 jobs Snacks / Drinks | 1 jobs

Salary Composition

In the United States, the salary composition for an ETL Developer in AI/ML/Data Science roles can vary significantly based on region, industry, and company size. Typically, the salary is composed of a fixed base salary, which forms the bulk of the compensation package. This base salary can range from 70% to 90% of the total compensation. Bonuses, which can be performance-based or company-wide, often account for 10% to 20% of the total salary. Additional remuneration may include stock options, especially in tech companies or startups, and other benefits such as health insurance, retirement contributions, and paid time off. In tech hubs like Silicon Valley or New York City, the total compensation might be higher due to the cost of living and competitive job market. In contrast, regions with a lower cost of living might offer a lower base salary but could compensate with other benefits.

Increasing Salary

To increase your salary further from the ETL Developer position, consider the following steps:

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. Learning new programming languages, tools, or frameworks can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications in data science or machine learning can open up higher-paying roles.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn. Networking can lead to opportunities in higher-paying companies or roles.
• Leadership Roles: Aim for leadership or managerial positions, which typically offer higher salaries. This might involve taking on more responsibilities or leading projects.
• Industry Shift: Consider moving to industries that pay more for data science roles, such as finance, healthcare, or tech.

Educational Requirements

Most ETL Developer roles in AI/ML/Data Science require at least a bachelor's degree in computer science, information technology, data science, or a related field. However, a master's degree is often preferred, especially for roles that involve complex data analysis or machine learning tasks. Some positions might also require coursework in statistics, mathematics, or engineering, given the technical nature of the work.

Helpful Certifications

Certifications can be a great way to demonstrate expertise and commitment to the field. Some common and helpful certifications include:

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

These certifications can enhance your resume and potentially lead to higher-paying opportunities.

Required Experience

Typically, an ETL Developer in AI/ML/Data Science is expected to have 3 to 5 years of experience in data engineering or a related field. Experience with ETL tools, data warehousing, and proficiency in programming languages such as Python, SQL, or Java is often required. Experience in handling large datasets and familiarity with cloud platforms like AWS, Azure, or Google Cloud can also be advantageous.

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