"Data Engineer" AND "NLP"

Greeting from ABAL Technologies Inc

Role: Data Engineer with NLP

Location: North Carolina - Hybrid

Job Summary:

We are looking for a Data Engineer with experience in Natural Language Processing (NLP) to join our team. The ideal candidate will design, build, and maintain scalable data pipelines and infrastructure to support NLP-based applications. You ll work closely with data scientists, machine learning engineers, and product teams to extract insights from unstructured text data.

Key Responsibilities:

• Build and maintain efficient data pipelines for text data processing
• Collect, clean, and organize structured and unstructured data (e.g., documents, social media, logs)
• Implement and optimize NLP pipelines using libraries like spaCy, NLTK, or Hugging Face Transformers
• Work with large-scale datasets and ensure data quality and integrity
• Collaborate with ML and data science teams to deploy NLP models into production
• Optimize performance of data workflows and NLP model inference
• Monitor and troubleshoot data pipelines and infrastructure

Required Skills:

• Strong experience in Python and SQL
• Knowledge of NLP libraries (e.g., spaCy, NLTK, Hugging Face, gensim)
• Experience with data processing frameworks (e.g., Apache Spark, Airflow, or similar)
• Understanding of text preprocessing techniques (tokenization, stemming, lemmatization, etc.)
• Familiarity with cloud platforms (AWS, Google Cloud Platform, or Azure) and data storage solutions
• Knowledge of version control (Git) and CI/CD practices

Preferred Qualifications:

• Bachelor's or Master s degree in Computer Science, Data Engineering, or related field
• Experience deploying NLP models in production environments
• Familiarity with containerization tools (Docker, Kubernetes)
• Exposure to MLflow or other model management tools