Salary for Mid-level / Intermediate ETL Developer during 2024
💰 The median Salary for Mid-level / Intermediate ETL Developer during 2024 is USD 120,000
✏️ This salary info is based on 14 individual salaries reported during 2024
Salary details
The average mid-level / intermediate ETL Developer salary lies between USD 73,332 and USD 160,000 globally. 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 Developer
- Experience
- Mid-level / Intermediate
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 14
- 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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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 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 jobsTop 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 jobsSalary Composition
The salary composition for a Mid-level/Intermediate ETL Developer in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components: base salary, bonuses, and additional remuneration such as stock options or benefits.
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Base Salary: This is the fixed annual amount and usually constitutes the largest portion of the total compensation. In regions with a high cost of living, such as the San Francisco Bay Area or New York City, the base salary might be higher to compensate for living expenses.
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Bonuses: These can be performance-based or company-wide and are often paid annually. In tech-heavy industries, bonuses can be a significant part of the compensation package, sometimes ranging from 10% to 20% of the base salary.
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Additional Remuneration: This includes stock options, profit-sharing, health benefits, and retirement contributions. Larger companies or startups might offer stock options as a way to attract talent, while established firms might provide more comprehensive benefits packages.
Increasing Salary
To increase your salary from a Mid-level/Intermediate ETL Developer position, consider the following strategies:
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Skill Enhancement: Acquire advanced skills in AI/ML, such as deep learning, natural language processing, or computer vision. Proficiency in popular tools and frameworks like TensorFlow, PyTorch, or Apache Spark can make you more valuable.
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Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field. Certifications in cloud platforms (AWS, Azure, Google Cloud) or data science (like those from Coursera or edX) can be beneficial.
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Networking and Industry Engagement: Attend industry conferences, webinars, and meetups to expand your professional network. Engaging with the community can lead to new opportunities and insights into higher-paying roles.
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Leadership and Management Skills: Developing skills in project management or team leadership can open doors to higher-level positions, such as a Data Science Manager or AI Project Lead.
Educational Requirements
Most Mid-level/Intermediate ETL Developer roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Information Technology, or Data Science. However, a master's degree or higher in a specialized area like Machine Learning or Data Engineering can be advantageous and sometimes preferred by employers.
Helpful Certifications
Certifications can enhance your resume and demonstrate your expertise. Some valuable certifications include:
- Certified Data Professional (CDP)
- AWS Certified Data Analytics – Specialty
- Google Professional Data Engineer
- Microsoft Certified: Azure Data Scientist Associate
These certifications validate your skills in data handling, cloud computing, and analytics, making you a more competitive candidate.
Required Experience
Typically, a Mid-level/Intermediate ETL Developer is expected to have 3-5 years of experience in data engineering or a related field. Experience with ETL tools (such as Informatica, Talend, or Apache NiFi), data warehousing, and proficiency in SQL and programming languages like Python or Java are often required.
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