Data Engineer
- Partial Remote
- Full-time
- September 30, 2025
About Us
At Sales Marker, our mission is to create a world where all people and companies can challenge themselves beyond existing boundaries. We’re one of the fastest growing start-ups in Japan and we’re growing at a speed that is twice as fast as Unicorn startups. By using our product, sales teams can improve their work efficiency by 3 times. We have achieved over 900% YoY business growth rate in 2.5 years since our flagship product 「Sales Marker」 was released and we’re currently actively working on a wide range of new product portfolios.
The Role
You will primarily be responsible for building data collection pipelines and infrastructure. The role involves collecting, cleansing, and modeling unstructured data from the internet to make it usable for products. All of our data collection systems are built as frameworks, so rather than creating something from scratch each time, we’ve developed a system where data cleansing and modeling can be automatically executed simply by matching the inputs and outputs.
Recently, as the volume of data has increased, our data engineering team has also been involved in building data platforms and introducing distributed systems for analysis. If desired, there are opportunities to get involved in data analytics and data science as well. We're particularly focused on utilizing LLMs and are conducting projects that explore how to process complex unstructured data using LLMs.
What We're Looking For
Required
- Experience with web scraping
- Experience in data cleansing
- Experience in data modeling
- Experience with ETL processes
- Experience using databases (e.g., MySQL, MongoDB)
- Experience extracting data from unstructured sources
- Business-level English and reading/writing proficiency in Japanese
Nice to Haves
- Experience with Natural Language Processing (NLP) or Machine Learning
- Experience with stream processing
- Experience building and operating data platforms
- Development experience outside of work (e.g., OSS contributions)
- Native-level Japanese
- Experience using data visualization tools (e.g., Tableau, Power BI, D3.js)
- Experience using LLMs in products (e.g., OpenAI)
Tech Stack
Front End
- Languages:TypeScript, React
- Libraries:Storybook, jest
- Hosting:Amplify
Server Side
- Infrastructure:AWS, ElasticBeanstalk
- DB:Aurora, ElasticSearch
- Languages:Node.js, Python
- Framework:Express
- Observability:DataDog
- Other:AWS Lambda, AWS Batch, AWS API GateWay, AWS Glue
Data Analysis
- OpenAI
- Amazon Bedrock
- OpenSearch
- SageMaker
- Athena
- Glue
Why Us?
- One of the fastest-growing SaaS startups in Japan with exceptional financial growth
- Opportunities to build new products from scratch and drive innovation
- Clear career development and leadership opportunities
- Flexible working hours and hybrid working style (remote work is possible)
- Highly diverse, global team with English as a working language
- Attractive perks: Resort Worx, free weekly lunch, book purchasing support, offsites, and more
Working Style
Hybrid Work
- We follow a hybrid work style, combining both office and remote work. Recommended in-office days vary by role. Even when working remotely, we maintain smooth collaboration and communication through tools like Zoom, Google Meet, and Gather.
Flex Work
- You can customize your working hours to suit your day. For business and client-facing teams, schedules are often arranged around client meetings.
Global Environment
- With team members from over 20 countries, we bring together diverse perspectives and ideas, driving projects forward across languages and cultures in an environment where English and Japanese blend naturally into daily communication.
About Sales Marker
Sales Marker is a SaaS start-up that provides B2B solutions that focus on "intent-based sales".
They use a methodology designed to identify and engage customers showing signs of needing a product or service.
Sales Marker leverages a database of 5 million corporate entities combined with dynamic intent data to enable precise targeting and effective engagement with potential customers.
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