Senior Data Infrastructure Engineer (Scraping & Scale)

Jobgether SRL; Turkey; À distance; TRY 500 000 - 800 000; Plein temps

Avantages offerts par ce poste

Fully remote work

Full-time employment

Résumé du poste

Jobgether SRL is seeking a Senior Data Infrastructure Engineer (Scraping & Scale) based in Turkey. You will design and scale high-performance web scraping and data ingestion systems, collecting millions of profiles and posts daily in a fully remote role.

Responsibilities include building fault-tolerant pipelines, distributed queues, and storage architectures (Parquet, Iceberg, Snowflake, S3) while tackling anti-bot challenges and enabling AI workflows.

Qualifications

• 4+ years of experience in high-volume web scraping or data engineering.
• Experience handling advanced anti-bot systems (Cloudflare/Akamai/PerimeterX) using TLS impersonation, browser automation, and proxy management.
• Strong Python or Go proficiency; adept with Playwright, Puppeteer, Scrapy, or Selenium.

Responsabilités

• Design and scale web scraping infrastructure using residential proxies, TLS fingerprinting, browser automation, and session rotation.
• Build fault-tolerant, high-throughput scraping pipelines for multiple social platforms.
• Develop distributed queues and orchestration with Temporal, Ray, Kafka, and Celery.

Connaissances

Web scraping

Data engineering

Anti-bot systems

Python/Go

Browser automation

Distributed systems

SQL/Data lakes

Troubleshooting

Outils

Temporal

Ray

Kafka

Celery

Playwright

Puppeteer

Scrapy

Selenium

Redis

Iceberg

Parquet

Snowflake

Amazon S3

Description du poste

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Infrastructure Engineer (Scraping & Scale) based in Turkey.

We are seeking a Senior Data Infrastructure Engineer to design and scale high-performance web scraping and data ingestion systems. In this fully remote role, you will build the core infrastructure responsible for collecting millions of social media profiles, posts, and video records daily. You will tackle complex anti-bot challenges, develop resilient distributed pipelines, and ensure reliable data delivery at scale. Working at the intersection of data engineering, automation, and AI infrastructure, you will support large-scale analytical and machine learning workflows. This opportunity is ideal for an engineer who combines deep technical expertise with a strong focus on performance, reliability, and continuous improvement.

Accountabilities

• Design and manage web scraping infrastructure using residential proxy networks, TLS fingerprinting, browser automation, and session rotation.
• Build fault-tolerant, high-throughput scraping pipelines to collect data from Instagram, TikTok, YouTube, X, and other web sources.
• Develop distributed queues and workflow orchestration systems using technologies such as Temporal, Ray, Apache Kafka, and Celery.
• Architect storage environments for structured and unstructured data using Parquet, Apache Iceberg, Snowflake, and Amazon S3.
• Implement monitoring, automated alerts, and recovery mechanisms to identify platform changes, blocking patterns, and proxy failures.
• Maintain reliable data ingestion at scale while minimizing downtime and supporting daily processing of millions of records.
• Enable downstream AI and analytics workflows through robust, well-structured data infrastructure.

Requirements

• At least 4 years of experience in high-volume web scraping, data engineering, or reverse engineering.
• Strong experience handling advanced anti-bot systems, including Cloudflare, Akamai, and PerimeterX, using TLS impersonation, browser automation, and proxy management.
• Advanced proficiency in Python or Go.
• Extensive experience with browser automation and scraping frameworks such as Playwright, Puppeteer, Scrapy, or Selenium.
• Practical knowledge of distributed systems and task queues, including Temporal, Ray, Kafka, and Redis.
• Strong SQL skills and experience with modern analytical data lakes and data warehouses.
• Ability to design scalable, fault-tolerant systems and troubleshoot complex data ingestion challenges.

Preferred Qualifications

• Experience extracting short-form video content and user metadata from TikTok, Instagram, and YouTube.
• Experience integrating scraping outputs with vector databases and real-time AI processing queues.

Benefits

• Fully remote work arrangement.
• Full-time employment.
• Salary, healthcare coverage, paid leave, and additional benefits are not specified in the provided job description.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.