Salary for Mid-level / Intermediate ETL Developer in United States during 2024

Salary details

The average mid-level / intermediate ETL Developer salary lies between USD 73,332 and USD 160,000 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: Dec. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate ETL Developer roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 40 jobs SQL | 39 jobs Python | 22 jobs Oracle | 22 jobs Data warehouse | 21 jobs Engineering | 18 jobs Testing | 18 jobs Security | 15 jobs Informatica | 14 jobs SSIS | 14 jobs Computer Science | 14 jobs Data Warehousing | 13 jobs Architecture | 13 jobs Azure | 12 jobs Agile | 12 jobs RDBMS | 11 jobs Java | 11 jobs AWS | 10 jobs Data quality | 10 jobs Snowflake | 9 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate ETL Developer roles

The three most common job benefits and perks assiciated with mid-level / intermediate ETL Developer job listings are Career development, Flex hours and Health care. 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 | 23 jobs Flex hours | 11 jobs Health care | 11 jobs Competitive pay | 8 jobs Equity / stock options | 7 jobs Flex vacation | 6 jobs Team events | 6 jobs Insurance | 6 jobs Parental leave | 5 jobs Medical leave | 4 jobs 401(k) matching | 2 jobs Wellness | 2 jobs Gear | 1 jobs Startup environment | 1 jobs Transparency | 1 jobs Conferences | 1 jobs Salary bonus | 1 jobs

Salary Composition for Mid-level ETL Developer in AI/ML/Data Science

In the United States, the salary composition for a mid-level ETL Developer in AI/ML/Data Science typically includes a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. 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, profit-sharing, or comprehensive benefits packages, can make up the remaining 5% to 10%.

Regional differences can also impact salary composition. For instance, tech hubs like Silicon Valley or New York City may offer higher base salaries and more lucrative stock options, while companies in smaller markets might provide more substantial bonuses to attract talent. Industry and company size also play a role; larger tech companies or those in high-demand sectors like finance or healthcare may offer more competitive compensation packages.

Steps to Increase Salary from This Position

To increase your salary from a mid-level ETL Developer position, consider the following strategies:

• Skill Enhancement: Continuously update your technical skills, especially in emerging AI/ML technologies and tools. Proficiency in programming languages like Python, R, or Scala, and experience with cloud platforms such as AWS, Azure, or Google Cloud can be advantageous.

• Advanced Education: Pursuing a master's degree or specialized courses in data science, machine learning, or related fields can make you more competitive for higher-paying roles.

• Networking and Professional Development: Attend industry conferences, join professional organizations, and engage in networking opportunities to connect with industry leaders and learn about new opportunities.

• Leadership and Management Skills: Developing skills in project management or team leadership can open doors to higher-level positions with increased responsibilities and pay.

• Explore New Opportunities: Regularly evaluate job market trends and be open to exploring new job opportunities that offer better compensation packages.

Educational Requirements

Most mid-level ETL Developer positions in AI/ML/Data Science require at least a bachelor's degree in computer science, information technology, data science, or a related field. Some employers may prefer candidates with a master's degree, especially for roles that involve complex data analysis or machine learning model development. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and demonstrate your expertise to potential employers. Some valuable certifications include:

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

These certifications can validate your skills in data management, cloud computing, and data engineering, making you a more attractive candidate for higher-paying roles.

Experience Requirements

Typically, a mid-level ETL Developer role requires 3 to 5 years of experience in data engineering, ETL processes, or related fields. Experience with data warehousing, data modeling, and working with large datasets is often expected. Familiarity with ETL tools such as Informatica, Talend, or Apache NiFi, as well as experience with SQL and database management, is crucial.

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