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Nlp Engineer Jobs in Colorado (NOW HIRING)

AI Data Engineer II

Denver, CO · On-site

$100K - $136K/yr

AI Application literacy, with the ability to leverage machine learning libraries and NLP frameworks ... Bachelor's Degree in Computer Science, Electrical Engineering, or a related field * Minimum ...

AI Data Engineer II

Denver, CO · On-site

$100K - $136K/yr

AI Application literacy, with the ability to leverage machine learning libraries and NLP frameworks ... Bachelor's Degree in Computer Science, Electrical Engineering, or a related field * Minimum ...

AI Data Engineer II

Denver, CO · On-site

$100K - $136K/yr

AI Application literacy, with the ability to leverage machine learning libraries and NLP frameworks ... Bachelor's Degree in Computer Science, Electrical Engineering, or a related field * Minimum ...

Data Engineer, Mid

Aurora, CO · On-site

$125 - $150/hr

As a data engineer, you're excited at the prospect of unlocking the secrets held by a data set, and ... NLP * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI ...

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

It is an engineering role focused on building, deploying, and operating AI systems in a regulated ... Experience with RAG pipelines, LLMs, or NLP-based systems * Experience with AWS Bedrock or similar ...

Software Engineer Supporting AI MLJob Category: EngineeringTime Type: Full timeMinimum Clearance ... NLP), large language models (LLMs), and more, you will be at the forefront of technological ...

Data Engineer, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Share Data Engineer, Mid The Opportunity: As a data engineer, you're excited at the prospect of ... NLP * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI ...

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

Share Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of ... NLP * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI ...

Data Engineer, Senior

Aurora, CO · On-site

$77K - $176K/yr

Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of ... NLP * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI ...

Data Engineer, Mid

Aurora, CO · On-site

$77K - $176K/yr

Data Engineer, Mid The Opportunity: As a data engineer, you're excited at the prospect of unlocking ... NLP * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI ...

Data Engineer, Mid The Opportunity: As a data engineer, you're excited at the prospect of unlocking ... NLP * Experience with visualization packages, including Plotly, Seaborn, or ggplot2 * TS/SCI ...

Showing results 41-60

Nlp Engineer information

See Colorado salary details

$38.4K

$112.8K

$144.6K

How much do nlp engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for nlp engineer in Colorado is $112,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What does an NLP engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

What are typical projects or responsibilities for an NLP engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

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

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

How much do NLP engineers make?

NLP engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning and natural language processing tools can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and data analysis. It is considered a growing field with strong demand due to the increasing use of AI and language-based applications in various industries.

What are the most commonly searched types of Nlp Engineer jobs in Colorado?

The most popular types of Nlp Engineer jobs in Colorado are:

What are popular job titles related to Nlp Engineer jobs in Colorado?

For Nlp Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Nlp Engineer jobs in Colorado look for?

The top searched job categories for Nlp Engineer jobs in Colorado are:

What cities in Colorado are hiring for Nlp Engineer jobs?

Cities in Colorado with the most Nlp Engineer job openings:

Infographic showing various Nlp Engineer job openings in Colorado as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,809 per year, or $54.2 per hour.

AI Data Engineer II

Denver, CO • On-site

EchoStar
Telecommunications • 1 - 5K employees

$100K - $136K/yr

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


EchoStar rating

7.3

Company rating: 7.3 out of 10

EchoStar

Based on 73 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Telecommunications companies average

Based on 5,822 frontline employees who took The Breakroom Quiz


Job description

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

You will address the challenge of transforming complex, fragmented data requirements into scalable, production-ready AI infrastructure using advanced Databricks and Spark architectures. By implementing rigorous software engineering disciplines and automated CI/CD workflows, you will eliminate bottlenecks in data delivery and ensure the reliability of mission-critical pipelines. Your role is pivotal in harmonizing cross-functional goals with high-quality code standards to drive the next generation of our data platform's evolution.

What Success Looks Like (Objectives)

  • Deliver scalable, high-performance data pipelines using Databricks and Spark that meet rigorous departmental OKRs for performance and cost-efficiency

  • Build fully automated CI/CD workflows within Gitlab to reduce deployment friction and ensure 100% version-controlled data infrastructure

  • Apply SOLID engineering principles and modular design to create a reusable testing framework that guarantees data pipeline stability and quality

  • Foster a culture of excellence by leading technical code reviews and mentoring peers to elevate the team's overall software engineering maturity

  • Integrate AI-driven automation tools to proactively monitor pipeline health and optimize resource allocation across the AWS ecosystem

  • Facilitate seamless collaboration between Data Science and Product teams to transform experimental models into fault-tolerant production solutions

Skills, Experience and Requirements

Core Skills and Competencies (What you’ll bring)

  • Advanced proficiency in Python and SQL alongside a deep understanding of distributed systems architecture and modern data patterns

  • Expertise in Databricks, Spark, and Delta Lake orchestration to manage large-scale, high-velocity data environments

  • A strong foundation in DevOps methodologies, specifically regarding infrastructure-as-code and containerization using Docker or Kubernetes

  • AI Application literacy, with the ability to leverage machine learning libraries and NLP frameworks to enhance data processing capabilities

  • Proven capability in applying design patterns and testing frameworks to ensure the integrity of complex software ecosystems

  • Critical experience in building and managing highly available, fault-tolerant systems within an enterprise AWS environment

  • Background in handling sensitive data and maintaining strict security protocols

Minimum Requirements

  • Minimum Education: Bachelor’s Degree in Computer Science, Electrical Engineering, or a related field

  • Minimum Experience: 3+ years of experience in data engineering

  • Required Technical Skills: Must have at least 3+ years of experience with:

    • Python and SQL

    • AI Platforms - Databricks and Spark (including Delta Lake)

    • CI/CD pipelines and Gitlab workflows

Visa sponsorship not available for this role

#LI-JZ2 

Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)


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