Senior Python Data Engineer | Applied AI for Cybersecurity

Deel; Northern (KY); Hybrid; USD 110,000 - 160,000; Full time

Job summary

PLP Group is seeking a Senior Python Data Engineer / Applied AI Engineer to join its cybersecurity team in the United States. You will build data pipelines, integrate APIs, and turn raw security data into actionable product intelligence.

You will own data processing end-to-end, work with JSON from third-party sources, ensure data quality, and contribute to AI features such as classification and ranking. The role requires 5+ years in data engineering, strong Python and SQL skills, experience with

Qualifications

• 5+ years of data engineering experience.
• Strong Python and SQL skills; PostgreSQL experience.
• Experience with APIs, JSON, and backend data pipelines.
• Experience with ETL/ELT workflows and production data processing.
• Ability to debug, test, and maintain production systems.
• Familiarity with pytest and version control.

Responsibilities

• Build and improve Python-based data pipelines.
• Work with JSON data from third-party APIs.
• Improve data quality, deduplication, and traceability across integrations.
• Design integration logic for security and cloud data sources.
• Write production-ready Python code and tests.
• Collaborate with product and engineering teams to turn messy real-world data into reliable product capabilities.

Skills

Python

SQL

ETL/ELT

API integration

JSON processing

Testing

Git

Azure

PyTorch

scikit-learn

FAISS

ddt/dbt

Data quality

Education

Bachelor’s degree in Engineering

Master’s degree preferred

Tools

dbt

PostgreSQL

REST APIs

JSON schema validation

pytest

Git

Azure

PyTorch

scikit-learn

FAISS

Job description

PLP Group is seeking a Senior Python Data Engineer / Applied AI Engineer to join its cybersecurity team in the United States. You will build data pipelines, integrate APIs, and turn raw security data into actionable product intelligence.

You will own data processing end-to-end, work with JSON from third-party sources, ensure data quality, and contribute to AI features such as classification and ranking. The role requires 5+ years in data engineering, strong Python and SQL skills, experience with