Text Analytics Engineer Salary.
Across 30 U.S. cities.
$138,000
national median salary
$105,000 to $182,000. Last updated April 2026.
Highest Paying
$192,000
San Francisco, CA
Best Purchasing Power
$144,000
Indianapolis, IN
Lowest Paying
$123,000
Detroit, MI
Salary data sourced from SEC filings, H-1B Labor Condition Applications (DOL), Bureau of Labor Statistics Occupational Employment and Wage Statistics, and aggregated job postings across 50+ platforms. Ranges reflect 25th to 75th percentile for full-time positions. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated April 2026.
The average Text Analytics Engineer salary in the United States is $138,000 in 2026, with the full range spanning $105,000 at the 25th percentile to $182,000 at the 75th. San Francisco pays the most at $192,000, while Indianapolis offers the best purchasing power after cost-of-living adjustments. Expertise in information extraction, topic modeling, and document classification drives compensation.
Text Analytics Engineer salary by city
What you should know
Expertise in information extraction, topic modeling, and document classification drives compensation. Engineers who build scalable text processing pipelines handling millions of documents daily command higher pay. Experience with named entity recognition, relation extraction, and knowledge graph construction from unstructured text adds premiums in enterprise and intelligence sectors.
Junior text analytics developers start at $80,000 to $110,000. Mid level engineers with production NLP pipelines earn $125,000 to $160,000. Senior engineers reach $165,000 to $200,000. Lead text analytics architects at enterprise companies can exceed $250,000 in total compensation.
Performance bonuses of 10 to 20% are standard. Equity grants at data analytics startups add 15 to 30% of total compensation. Signing bonuses of $10,000 to $30,000 are typical. Benefits often include professional development budgets and data conference attendance.