Data Engineer: Build Scalable Pipelines & Data Tools

Oxylabs; Harding Township (NJ); On-site; USD 45,000 - 65,000; Full time

Benefits offered by this job

Private health insurance

Gym access

Team events

Workation program

Job summary

Oxylabs is looking for a Data Engineer to build and maintain scalable data pipelines, ensuring data quality and timeliness across the platform. You will design robust data models, integrate diverse data sources, and develop internal tools to automate workflows using Python.

The role requires hands-on work with Google Cloud or AWS, Airflow, and a strong DataOps mindset. Collaboration with cross‑functional teams will be key to delivering scalable solutions in a fast-paced environment.

Qualifications

• Proficiency in Python and SQL for data engineering tasks.
• Experience with cloud platforms (GCP or AWS).
• Familiarity with DataOps, Git, Terraform, Docker, Kubernetes, and CI/CD.
• Strong data modeling and data warehousing understanding.
• Excellent communication, ownership, and detail orientation.

Responsibilities

• Build and maintain scalable data pipelines across batch and real-time data.
• Design robust data models and integrate diverse data sources.
• Develop internal tools and automate workflows using Python.
• Collaborate with cross-functional teams to translate business needs into solutions.
• Ensure data quality and system reliability.

Skills

Python

Google Cloud

AWS

Airflow

SQL

Data modeling

Git

Terraform

Docker

Kubernetes

CI/CD

Tools

Airflow

Git

Terraform

Docker

Kubernetes

Job description

Oxylabs is looking for a Data Engineer to build and maintain scalable data pipelines, ensuring data quality and timeliness across the platform. You will design robust data models, integrate diverse data sources, and develop internal tools to automate workflows using Python.

The role requires hands-on work with Google Cloud or AWS, Airflow, and a strong DataOps mindset. Collaboration with cross‑functional teams will be key to delivering scalable solutions in a fast-paced environment.