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← SalesNow Co., Ltd.

Remote Data Engineer - AI Data Platform Japan Python

SalesNow Co., Ltd. · Hà Nội
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Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Từ 25tr
Location
Not Available, Hà Nội, Hà Nội

Overview

  • Data scale: 8B data points, 14M records, 2.3M daily updates (vs. 1M-100M rows at typical companies)
  • Data ownership: You build and own Japan's largest corporate intelligence platform (vs. processing someone else's data)
  • AI integration: 20+ AI pipelines in production, MCP Server live (vs. "We're planning to use AI someday")
  • Dev tools: Claude Code MAX ($200/month), Cursor, CodeRabbit — all company-paid (vs. standard IDE, maybe Copilot)
  • Your code's impact: Feeds AI products used by enterprise clients, millisecond latency matters (vs. dashboards no one reads)
  • Career trajectory: Build Japan's data infrastructure → architect AI data products → global leverage (vs. same stack forever)
  • Remote work: 100% remote, no relocation required (vs. hybrid / office-required)
  • 14 million+ company records across Japan's entire business landscape — from Toyota to a 3-person startup in Okinawa
  • 8 billion data points structured and queryable at millisecond speed
  • 2.3 million records updated daily — hiring signals, funding rounds, organizational changes, press releases, job postings
  • Sub-minute differential refresh — when a company posts a new job or announces funding, SalesNow knows within 60 seconds
  • 42+ data sources feeding into a unified schema
  • 5 delivery formats: Web app UI / CRM integration (Salesforce, HubSpot) / MCP Server / Data API / Custom AI Agents
  • Claude Code MAX — Company-paid for every engineer. This is a $200/month tool that most individual developers can't justify. You get it Day 1, fully covered
  • Monthly AI tool budget — Tens of thousands of yen per person, on top of Claude Code MAX, for any AI tool you want to try
  • CodeRabbit — Automated PR reviews powered by AI. Every pull request gets AI review before human review
  • Vibe coding culture — Not just engineers. The CEO, COO, and business teams all write code with AI assistance. When you propose a technical solution, leadership actually understands it
  • 20+ AI pipelines in production — X post generation, candidate screening, PR monitoring, behavioral analytics, financial page generation — all running daily in production. This isn't a demo. It's how the company operates
  • No "AI committee" or "innovation lab" gatekeeping — You want to try a new approach? Ship it. The decision loop is measured in hours, not quarters
  • I have professional experience building data pipelines or data processing systems with Python
  • I have professional experience writing SQL queries and working with databases
  • I am available for full-time remote work (40 hours/week)
  • The largest dataset or data pipeline you've worked with — how many records per day, and what did it do?
  • What was the most technically challenging problem you solved in your career? (1-2 sentences is fine)
  • Which data tools or frameworks have you used? (e.g., Airflow, dbt, Spark, Kafka, Elasticsearch — list any that apply)
  • 2+ years of professional data engineering experience
  • Strong Python skills — clean, testable pipeline code
  • Strong SQL skills — complex queries, window functions, query optimization
  • Experience with at least one orchestration tool — Airflow, Dagster, Prefect, or equivalent
  • Experience with relational databases at scale — PostgreSQL preferred
  • English proficiency (professional working level)
  • Experience with Elasticsearch or OpenSearch at scale
  • dbt experience
  • Web scraping / large-scale data collection systems
  • Experience with data quality frameworks and monitoring
  • AWS experience (S3, Lambda, ECS, RDS, etc.)
  • RAG pipeline / vector database experience
  • Experience processing 1M+ records daily
  • Japanese language ability (JLPT N3 or above)

Benefits

BonusTraining

Summary of facts from the official posting. View original ↗

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