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Entry Level Language Engineer Jobs in Washington, DC

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... Exceptional Full Stack, Language Agnostic coding Experts!! * We are considering Mid to Senior Level ...

Full Stack Software Engineer (Entry level - Senior Levels) Locations: Arlington, VA and areas ... Exceptional Full Stack, Language Agnostic coding Experts!! * We are considering Mid to Senior Level ...

Junior DevOps Engineer

Falls Church, VA · On-site

$56.25 - $77/hr

... Entry Level Job Type Full-time Location CTAC HQ - Falls Church, VA 22042 US (Primary) Travel 0 ... Strong experience in at least one programming language, preference for comfort in a variety of ...

Junior DevOps Engineer

Falls Church, VA · On-site

$56.25 - $77/hr

... Entry Level Job Type Full-time Location CTAC HQ - Falls Church, VA 22042 US (Primary) Travel 0 ... Strong experience in at least one programming language, preference for comfort in a variety of ...

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Entry Level Language Engineer information

See Washington, DC salary details

$34K

$78.6K

$133.6K

How much do entry level language engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level language engineer in Washington, DC is $78,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $88,900.00 per year, depending on experience, location, and employer.

What does an entry level language engineer do?

An Entry Level Language Engineer works on developing and improving language-related technologies such as speech recognition, natural language processing (NLP), and text-to-speech systems. Their responsibilities typically include data annotation, developing language models, analyzing linguistic data, and supporting senior engineers in implementing language solutions. They often collaborate with software engineers, linguists, and data scientists to enhance the performance and accuracy of language-based applications. This role serves as a foundation for gaining hands-on experience in computational linguistics and AI-driven language systems.

What are the key skills and qualifications needed to thrive as an entry level language engineer?

To thrive as an Entry Level Language Engineer, you generally need a background in linguistics, computer science, or a related field, with strong programming skills in languages like Python or Java. Experience with natural language processing (NLP) frameworks, machine learning libraries, and tools such as NLTK, spaCy, or TensorFlow is highly valuable. Attention to detail, analytical thinking, and effective communication are standout soft skills for this role. These competencies are essential for developing robust language models and collaborating efficiently on interdisciplinary teams to solve complex language-related challenges.

What are some common challenges faced by entry level language engineers when working on natural language processing projects?

Entry level language engineers often encounter challenges such as understanding complex linguistic phenomena, handling large and messy datasets, and adapting to rapidly evolving NLP tools and frameworks. Collaborating with data scientists, linguists, and software engineers is crucial to ensure accurate model development and deployment. Learning to balance the theoretical aspects of language with practical implementation is key, as is staying updated with industry best practices and advancements. Proactive communication and a willingness to learn from more experienced team members help in overcoming these initial hurdles.

What is the difference between Entry Level Language Engineer vs Junior Software Developer?

AspectEntry Level Language EngineerJunior Software Developer
Required CredentialsBachelor's in Computer Science or related field, basic programming skillsBachelor's in Computer Science or related field, coding experience
Work EnvironmentTech companies, research labs, language processing teamsSoftware firms, tech startups, IT departments
Employer & Industry UsageUsed in NLP, AI, speech recognition projectsUsed across various software development projects
Common Search & ComparisonOften compared for entry-level roles in language processingMore general, but frequently compared in entry-level software roles

Entry Level Language Engineers focus on natural language processing, speech recognition, and AI language models, requiring knowledge of linguistics and programming. Junior Software Developers have broader coding responsibilities across software applications. While both roles require foundational programming skills and a bachelor's degree, Entry Level Language Engineers specialize in language technologies, making them distinct in industry applications.

Entry-Level Data Engineer / Data Scientist

The Prospective Group (TPG)

Washington, DC

$90K - $110K/yr

Full-time

Posted 13 days ago


Job description

Clearance required: Secret
The Prospective Group (TPG) is seeking a motivated, recent graduate to join our team as an Entry-Level Data Engineer / Data Scientist. This role is ideal for someone with a strong foundation in data analytics, statistical modeling, and programming who is eager to apply academic and project experience to real-world business problems. The candidate will support data pipeline development, statistical analysis, and visualization efforts across the organization.
Key Responsibilities:
  • Assist in building, cleaning, and maintaining large-scale datasets for analysis
  • Develop and support data pipelines and automated reporting processes
  • Conduct statistical and quantitative analysis to support business decision-making
  • Build dashboards and visualizations to communicate findings to stakeholders
  • Collaborate with cross-functional teams on analytics and reporting projects
  • Support ad hoc data requests and contribute to process improvement initiatives
Minimum Requirements:
  • Bachelor's degree in Data Analytics, Computer Science, or related field
  • Proficiency in SQL and at least one programming language (Python, Java, or R)
  • Experience with Excel and data visualization tools
  • Familiarity with version control systems (GitHub/GitLab)
  • Strong analytical, problem-solving, and communication skills
  • Ability to work both independently and collaboratively in a team environment
Preferred Qualifications:
  • Experience with statistical/regression modeling or predictive analytics
  • Exposure to PCA, KPI development, or dashboard design
  • Coursework or project experience in data structures, algorithms, or big data analytics
  • Familiarity with Jupyter Notebook or RStudio
Position Pay Range:
$90,000 - $110,000 USD
The Prospective Group (TPG) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.