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Text Mining Jobs (NOW HIRING)

Nokia

AI R&D Engineer Co-op

Sunnyvale, CA · On-site

$239.30K/yr

... text mining, and more. • Develop and implement agentic-based systems for a wide range of applications, including anomaly detection, root-cause analysis, and more. • Optimize existing machine ...

New

Brilent

Senior NLP Scientist/Engineer

San Mateo, CA · On-site

... text mining, NLP processing, and machine learning Qualifications • Extensive experiences in NLP processing including POS tagging, syntactic/semantic analysis, ambiguity resolution, named entity ...

Booz Allen Hamilton

Data Scientist, Mid

San Diego, CA · On-site

... text mining or machine learning techniques • Secret clearance • Bachelor's degree Preferred : • 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL ...

New

Brilent

Senior Software Engineer

San Mateo, CA · On-site

$139.50K - $183.90K/yr

Text mining and Natural Language Processing is a plus. * Experience with business applications and enterprise software a big plus. Familiar with API design, distributed back end systems and ...

Vulcan Materials Company

Applied Analytics Engineer

Irving, TX · On-site

$106.30K - $127.60K/yr

Apply the scientific method to design experiments, formulate hypotheses, and conduct rigorous testing. • Apply expertise in natural language processing (NLP) and text mining techniques where ...

Wells Fargo

Senior Analytics Consultant

Charlotte, NC · On-site

Leverage machine learning, NLP, and AI techniques where appropriate to enable scalable automation-such as text mining of notes, disposition narratives, or correspondence; classification and ...

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How much do text mining jobs pay per hour?

As of May 30, 2026, the average hourly pay for text mining in the United States is $26.84, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $29.81 per hour, depending on experience, location, and employer.

What is a Text Mining job?

A Text Mining job involves extracting useful information, patterns, and insights from large volumes of text data using natural language processing (NLP), machine learning, and statistical techniques. Professionals in this field work with unstructured data from sources like documents, social media, and customer feedback to derive meaningful conclusions. They use programming languages such as Python or R, along with tools like NLP libraries and AI models. Text Mining is commonly applied in areas like sentiment analysis, topic modeling, and automating text classification for business intelligence.

What are the key skills and qualifications needed to thrive in the Text Mining position, and why are they important?

To thrive in Text Mining, you need a solid background in computer science, data analysis, and natural language processing (NLP), often supported by a relevant degree. Familiarity with programming languages such as Python or R, and experience using NLP libraries like NLTK, spaCy, or TensorFlow are typically required, with certifications in data science or machine learning being advantageous. Strong analytical thinking, attention to detail, and effective communication are vital soft skills in this field. These abilities are crucial for extracting meaningful insights from large unstructured text data and effectively collaborating with cross-functional teams.

What are some common challenges faced by professionals in Text Mining roles?

Professionals in Text Mining roles often encounter challenges such as cleaning and preprocessing large volumes of unstructured text data, dealing with ambiguous or context-dependent language, and ensuring the accuracy of the extracted information. Handling multiple languages, domain-specific jargon, and data privacy concerns can also add complexity to projects. Collaboration with subject matter experts and data engineers is often necessary to fully understand project requirements and optimize results. Overcoming these challenges is both rewarding and crucial for delivering high-quality insights that drive business decisions.
More about Text Mining jobs
What are the most commonly searched types of Text Mining jobs? The most popular types of Text Mining jobs are:
What states have the most Text Mining jobs? States with the most job openings for Text Mining jobs include:
What job categories do people searching Text Mining jobs look for? The top searched job categories for Text Mining jobs are:
Text Mining jobs near you
Infographic showing various Text Mining job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 69% Full Time, 22% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $55,819 per year, or $26.8 per hour.

Sr. Hadoop developer (6 positions)

Atria Group LLC

Dallas, TX

Contractor

Posted 15 days ago

Job description

Company Description


 

Job Description

Sr. Hadoop developer (6 positions)

3.5+ years of experience each.

Need 6 resources.

12-36 month contracts.

Should have 3+ years of experience and an actual product or system to show for their development. Example: Utilized Hadoop Ecosystem to create a platform/system to allow __________.

  1. We are looking for an expert Hadoop developer, experienced with processing large data sets.
  2. As part of our Big Data team, you'll be immersed in a creative environment.
  3. You'll collaborate with a talented team of data scientists and developers to build large scale applications that will impact real world problems. 
  4. If you're an experienced Hadoop Developer who loves designing and working with large data sets, then this is the position for you.
  5. You'll collaborate with others to translate highly technical information into innovative solutions for our entire business.
  6. Ready to dig in? Start making an impact now.

If this sounds like you, check out the responsibilities:

  • Developing Big Data technologies such as Hadoop, NoSQL, text mining and others
  • Writing code, completing programming and documentation and performing testing and debugging of applications
  • Requires experience working with very large data sets and knowledge of building programs that everage Hadoop and MPP platforms
  • Understanding of tools like MapReduce, Sqoop and Floom
  • Knowledge of Big Data technolog and tools with the ability to share ideas among a collaborative team
Additional Information

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