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Text Mining Engineer

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May 3, 2024 3 minute read

Text Mining Engineers are responsible for designing, building, and maintaining software to process, extract, and analyze large amounts of text. They use their knowledge of natural language processing, machine learning, and data mining to create tools that can help businesses and organizations make sense of unstructured data such as emails, social media posts, and customer reviews.

Skills and Knowledge

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Salaries for Text Mining Engineer

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$104,000

$146,000

$206,000

$146,000

San Francisco

$115,000

$130,000

$154,000

$130,000

Seattle

$150,000

$179,000

$212,000

$179,000

See all salaries

City

25th Percentile

50th Percentile

75th Percentile

Median

New York

$104,000

$146,000

$206,000

$146,000

San Francisco

$115,000

$130,000

$154,000

$130,000

Seattle

$150,000

$179,000

$212,000

$179,000

Austin

$106,000

$134,000

$167,000

$134,000

Toronto

$87,000

$106,000

$124,000

$106,000

London

£68,000

£89,000

£126,000

£89,000

Paris

€59,000

€63,000

€69,000

€63,000

Berlin

€52,000

€67,000

€96,000

€67,000

Tel Aviv

₪420,000

₪510,000

₪600,000

₪510,000

Singapore

S$60,000

S$78,000

S$100,000

S$78,000

Beijing

¥204,000

¥273,000

¥452,000

¥273,000

Shanghai

¥242,000

¥324,000

¥434,000

¥324,000

Bengalaru

₹298,000

₹417,000

₹646,000

₹417,000

Delhi

₹404,000

₹524,000

₹634,000

₹524,000

Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Text Mining Engineer

Take the first step.

We've curated two courses to help you on your path to Text Mining Engineer. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

PySpark: Apply & Analyze Advanced Data Processing

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Mastering Natural Language Processing (NLP) with Deep Learning

Mastering Natural Language Processing (NLP) with Deep...

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