Senior Data Product Engineer

Job not on LinkedIn

🔥 4 minutes ago

💃 Latin America – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NaNLABS

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🚘 Automotive

💼 Consulting

🔒 Cybersecurity

Automotive • Consulting • Cybersecurity

NaNLABS is a B2B cloud data engineering and AI services firm that builds scalable, secure, real-time data pipelines, data architectures, and machine learning solutions for companies ranging from fast-growing startups to large enterprises. They specialize in cloud-native data engineering, real-time streaming, observability, and AI/ML (including prompt engineering and RAG), and frequently work with clients in EV & Automotive, SaaS, and cybersecurity. NaNLABS integrates closely with client teams to provide ownership, proactive problem-solving, and impact-driven, production-ready solutions.

📋 Description

• Architect and scale distributed web scraping systems for thousands of internet sources • Develop strategies to navigate Cloudflare, CAPTCHAs, rate limiting, IP banning, browser fingerprinting, and other anti-scraping mechanisms • Use proxy pools, headless browsers, and adaptive crawling techniques for reliable data collection at scale • Process and extract data from HTML and JSON • Refactor and productionize Python data collection pipelines • Improve reliability, observability, error handling, retries, and alerting • Build schedulable and containerized ingestion workflows using Airflow or equivalent tools • Design PostgreSQL schemas, views, partitioning, and data access patterns • Work with AWS services including S3, EKS, IAM/IRSA, Parameter Store, and ECR • Build and maintain the data access layer using GraphQL and Hasura • Collaborate with Data Science and SaaS teams to integrate ML components and define reliable API contracts • Own the data product end to end, contribute to code reviews, and drive technical improvements

🎯 Requirements

• Strong hands-on experience with advanced web scraping at scale • Experience overcoming anti-scraping and bot-protection mechanisms, including proxy rotation, headless browsers, rate limiting, IP blocking, fingerprinting, or similar challenges • Strong experience with web scraping and DOM parsing tools such as Scrapy, Playwright, Selenium, Puppeteer, BeautifulSoup, lxml, XPath, or CSS selectors • Strong professional experience with Python and data processing • Hands-on experience with AWS, particularly S3 and boto3; experience with EKS, IAM/IRSA, Parameter Store, or ECR is highly valuable • Experience building reliable data pipelines using Airflow or an equivalent orchestrator • Strong knowledge of PostgreSQL and relational database fundamentals • Ability to take end-to-end ownership of technical solutions and work autonomously • Experience contributing to code reviews and maintaining high software engineering standards • Experience with GraphQL, Hasura, Redis, Elasticsearch, Docker, or Kubernetes is a plus • Experience with cybersecurity data, NLP/ML pipelines, or data-as-a-product environments is a plus • English level B2 or higher, with the ability to communicate effectively with technical and cross-functional teams

🏖️ Benefits

• Vacations fully flexible and self-managed • Sick leave and personal days • Public holidays • Paternity and maternity leave • Study leave • Moving days • Training in best practices and tech • Books and light talks • In-house English classes • Continuous feedback • 1:1 career development sessions • Flexible working hours • Equipment and work materials provided • Internal events and team activities • Day off on your birthday • 100% remote positions across LATAM • Contractor model with payment in USD