Data Scientist vs ETL Developer

Career path, salary, and job market comparison for 2026

Data Scientist and ETL Developer are both in-demand developer careers, but they require different skills and lead to different types of work. Data Scientists earn a national median of $113K compared to $126K for ETL Developers. This comparison breaks down the key differences in job market, salary, career trajectory, and day-to-day responsibilities to help you choose the right path.

Head-to-Head Comparison

Domain

Data & AI

Job Demand

Very High

Moderate

Entry Barrier

High

Moderate

Time to Job-Ready

6-12 months

2-4 months

National Median

$112,590

$126,426

Junior Salary

$64,402 - $84,162

$72,316 - $94,504

Senior Salary

$113,941 - $152,784

$127,943 - $171,560

Role Profiles

Data Scientist

Data & AI

Job Demand Very High

Entry Barrier High

Time to Job-Ready 6-12 months

National Median $112,590

Key Skills:

PythonRSQLMachine LearningStatistics

Related Roles: Machine Learning Engineer, Data Analyst, AI Engineer, Data Engineer

ETL Developer

Data & AI

Job Demand Moderate

Entry Barrier Moderate

Time to Job-Ready 2-4 months

National Median $126,426

Key Skills:

SQLPythonSSISInformaticaTalend

Related Roles: Data Engineer, BI Developer, Data Analyst, database administrator

Which Career Path Should You Choose?

Choose Data Scientist if...

Choose the Data Scientist path if you enjoy working with Python, R, SQL and want to build a career in the data & ai space. This role is a strong fit if you value the types of problems it solves and the career progression it offers.

View Data Scientist Career Path

Choose ETL Developer if...

Choose the ETL Developer path if you enjoy working with SQL, Python, SSIS and want to build a career in the data & ai space. This role is a strong fit if you value the types of problems it solves and the career progression it offers.

View ETL Developer Career Path

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Picking the Role Matters Less Than Becoming the Developer People Know.

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