Senior Web Scraping Data Engineer (Remote)

Jobgether; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Fully remote

Full-time

Autonomy

Collaborative team

Job summary

Jobgether is seeking a Senior Data Engineer – Web Scraping, fully remote in the United States. The role focuses on designing and maintaining scrapers, transforming web data into reliable datasets, and delivering production-ready data products.

You will work with Python, Pandas, and SQL to clean and prepare data, while orchestrating pipelines with Airflow and tooling like Selenium/Scrapy. Collaboration with analysts and cross-functional teams is essential for scalable, reliable solutions.

Qualifications

• 4-6 years of professional data engineering experience.
• Strong Python and SQL skills with Pandas for data cleaning and transformation.
• Hands-on web scraping experience with Selenium, Scrapy, and related tools.
• Experience with Airflow for workflow orchestration and data pipelines.

Responsibilities

• Design, develop, deploy, and maintain web scrapers across sources.
• Build robust data pipelines ingesting scraped data into databases/data warehouses.
• Develop and manage scheduled workflows to ensure timely data delivery.
• Collaborate with analysts and stakeholders to align data requirements.

Skills

Python

SQL

Pandas

Web scraping

Selenium

Scrapy

Airflow

Docker

AWS

Education

Bachelor's degree

Master's degree

Tools

GitHub Actions

Kubernetes

Job description

Jobgether is seeking a Senior Data Engineer – Web Scraping, fully remote in the United States. The role focuses on designing and maintaining scrapers, transforming web data into reliable datasets, and delivering production-ready data products.

You will work with Python, Pandas, and SQL to clean and prepare data, while orchestrating pipelines with Airflow and tooling like Selenium/Scrapy. Collaboration with analysts and cross-functional teams is essential for scalable, reliable solutions.