I AM HIRED

Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

Data Integration Specialist — United States

Разработчики, Автоматизация и интеграции, Скрипты и парсинг · 13 ноября · 13.11.2026

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Компания: ••••••••

Локация: United States

Формат: не указан

Занятость: Контракт

Грейд: Senior

taBXAPrcg UeVMRDf3t is hiring a hands-on technical problem-solver for a large, well-known global technology company. You’ll join the team responsible for collecting and processing data from thousands of external websites. You’ll keep that data flowing accurately, fix problems when sources break, and build tools and automation that make the whole process faster and more reliable.

The role suits someone who likes figuring out why something broke and then building a fix so it doesn’t happen again.

What You’ll Do

• Triage and resolve technical issues quickly, report bugs, and find root causes so problems don’t recur

• Analyze website layouts and data workflows to make reliable decisions about what data to capture and how

• Build, support, and improve front-end and back-end tools, using AI and automation to cut manual work

• Own complex workstreams from scoping through delivery, and adjust plans to get past roadblocks

• Partner with engineering and product teams to resolve bugs and outages and prioritize improvements

• Support and coach internal and vendor teams against performance standards

• Communicate status, risks, and changes clearly to leaders and partners

What You Bring

• 7+ years of related experience (or 5+ with a Bachelor’s, 3+ with a Master’s)

• Front-end development experience (HTML/CSS/JavaScript)

• Back-end development in Python and/or Java

• Advanced SQL and a solid grasp of ETL fundamentals

• Strong root-cause analysis and complex data analysis skills

• Experience building automation and tools that replace manual processes

• Clear communication with both technical and non-technical stakeholders

Nice to Have

• Web scraping or data extraction experience (XPath, CSS selectors, Scrapy, Selenium, Playwright, BeautifulSoup)

• Background in data aggregation, data acquisition, or large-scale data ingestion

• Experience managing or QA’ing work from offshore or vendor teams

• Practical use of AI/LLMs to automate workflows

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