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Data Engineer Linguist Jobs (NOW HIRING)

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see ... They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see ... They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer . Please see ... They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data ...

Unchain Data

$84K - $101K/yr

Work alongside some of the sharpest minds in the world, including intelligence analysts, defense veterans, data engineers, quant researchers, linguists, and more. The Role As a Software Engineer on ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

ROLE SUMMARY Babel Street is looking for a Software Engineer to join our Analytics Group. This is ... Since our platform processes data from around the globe, your linguistic insights can directly ...

Sensory Inc.

$80 - $100/hr

Design data collection protocols and ensure quality using internal QA tools * Collaborate with ... Programming experience in at least one language * Ability to work independently and in teams * B.A ...

New

Collabera Digital

PhD level Linguist II

Burlingame, CA · On-site

$74K - $124K/yr

... data, experience design, software product engineering, and workforce transformation. Powered by ... Provide linguistic expertise in phonetics, phonology, lexicography, dialectology, and Natural ...

Cyborg Mobile

Data & AI Program Manager

Redmond, WA · On-site +1

Collaborate with client data engineers, data scientists, and machine learning engineers to ... related data quality/linguistics role * Strong understanding of data annotation workflows ...

New

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How much do data engineer linguist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data engineer linguist in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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For Data Engineer Linguist jobs, the most frequently searched job titles are:

Infographic showing various Data Engineer Linguist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

NLP/Linguistics Software Engineer

Somerville, MA • On-site

Hatch IT
11 - 50 employees
Learn more about Hatch ITexternal

$125K - $150K/yr

Full-time

Re-posted 18 days ago

Key responsibilities

  • Write high-quality, maintainable code to support the analytics platform and its record matching components.

  • Implement and translate theoretical ideas from linguistics and data science into practical software features.

  • Help optimize and maintain search engine components, including Elasticsearch data modeling and performance tuning.

Job description

hatch I.T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer. Please see details below:

About the Role

Babel Street is looking for a Software Engineer to join their Analytics Group. This is an execution-focused "builder" role for an engineer early in their career who wants to work at the intersection of NLP algorithms, search engines, and data science techniques. In this role, you will help create the next generation of architecture and components for their analytics platform, focusing specifically on their record matching functionality. You will bridge the gap between linguistic theory and practical AI applications, helping us implement practical, innovative text analytics and AI-driven features. You will work closely with senior engineers to learn how to deliver software that is safe, reliable, and production-ready.

About the Company

Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage.  The actionable insights we deliver safeguard lives and protect critical assets around the world.  Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.

What you will do:
  • Implement and Maintain: Write high-quality, maintainable code to support the analytics platform and its record matching components.
  • Bridge Theory and Practice: Take theoretical ideas from linguistics and data science and implement them as practical software features.
  • Support Search Internals: Help optimize and maintain search engine components, including Elasticsearch data modeling and performance tuning.
  • Collaborate and Learn: Participate in agile sprint planning and work daily with senior partners to translate project requirements into technical solutions.
  • Build Scalable Systems: Assist in designing and shipping robust APIs and scalable architectures that integrate into our AI-native platform.
What you will bring:

Required:

  • 2–4 years of professional software engineering experience (including high-impact internships or projects).
  • Proficiency in Java (our core analytics language) or Python (for AI/ML integrations).
  • Problem Solver: Ability to work across teams and make steady progress in ambiguous problem spaces.
  • Educational Foundation: Bachelor's degree in Computer Science, Linguistics, or a related technical field.

Preferred (Nice to Have):

  • Foundation in Data Science: Experience with data quality evaluation, data annotation, or guideline design, preferably for linguistics.
  • Familiarity with Elasticsearch internals or other search/retrieval-based systems.
  • Exposure to computational linguistics or natural language processing (NLP).
  • Interest in Kubernetes and cloud-native architectures.
What success looks like:
  • Month 1–2: Ramp up on the analytics stack and record matching architecture; ship your first initial changes to production.
  • Month 3–4: Take ownership of a specific component or pipeline improvement with guidance, including full testing and documentation.
  • Month 5–6: Deliver a measurable improvement to record matching quality or pipeline reliability and contribute to team design discussions.
Why this role matters:
The record matching functionality is where Babel Street’s signals become usable intelligence. Do you care about provenance, explainability, and trust? When a match decision affects whether someone is onboarded or investigated, "the model said so" is not good enough. You will help build systems where every match is defensible, auditable, and tunable — a rare luxury in modern ML-heavy stacks. Do you speak multiple languages? Since our platform processes data from around the globe, your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.