Careers at Statsnet

Statsnet is a due-diligence and open company data service covering Kazakhstan, Kyrgyzstan and Uzbekistan. We are building the largest open database of companies: we collect official registries and turn them into clear company profiles, an API and tools for compliance, marketing and journalism. The team is small, so every engineer directly shapes a product used by hundreds of thousands of people every month.

How we work

Fully remote with flexible hours. Most of the team works in GMT+5–GMT+6 time zones.
Short release cycle: changes ship to production daily, with no bureaucracy.
Few meetings, mostly async: contracts and tasks are written down.
A modern stack and freedom to choose your tools — including heavy use of AI agents in development.

Open positions

Data Engineer

We are looking for a data engineer to grow our registry data pipelines: from official sources to search indexes and company profiles.

What you will do

Design and maintain ETL pipelines ingesting government registries and open sources.
Normalize and deduplicate data about companies, officers and the links between them.
Own data quality and completeness: freshness metrics, alerts, reconciliation against sources.
Optimize storage and search: PostgreSQL, Elasticsearch, large batch loads.
Help design new data products: risk scoring, enrichment, bulk exports.

What we expect

Strong Python and SQL; experience with large tabular datasets.
2+ years building and operating ETL/ELT pipelines in production.
Solid understanding of PostgreSQL and search engines (Elasticsearch/OpenSearch).
Ability to untangle messy registry data and bring it to production quality.
Nice to have: Go, parsing/scraping experience, familiarity with Kazakhstani registries (BIN, OKED, KATO).

Software Engineer

We are looking for a product-minded software engineer for our backend API, web application and integrations (API keys, MCP server, data exports).

What you will do

Build and maintain the public REST API and internal services in Go.
Develop the Next.js/TypeScript web application: company profiles, search, plans and the account area.
Take new features from contract to production: billing, quotas, AI assistant integrations.
Care about performance and reliability: caching, monitoring (Sentry), SEO-critical SSR.

What we expect

3+ years of professional development experience; strong Go or TypeScript (ideally both).
Experience with React/Next.js or willingness to pick them up fast.
Understanding of relational databases, HTTP APIs, caching and queues.
A habit of writing maintainable code and shipping features end to end on your own.
Nice to have: payment systems (Paddle/Stripe), Elasticsearch, Kubernetes/GCP.

What we offer

Competitive USD salary tied to your level, not your location.
Fully remote work and a flexible schedule.
Real impact on the product: no legacy swamps or long approval chains.
Paid courses, conferences and work tools (including AI assistants).

How to apply

Send your CV or a profile link (GitHub/LinkedIn) to mail@statsnet.co with the subject "Vacancy: Data Engineer" or "Vacancy: Software Engineer". A cover letter is optional — a couple of sentences about what interests you in Statsnet is enough. We reply to everyone within a week.

Can I work remotely from another country?

Yes. The team is distributed; we can engage you as a contractor directly or via international contractor platforms. The main requirement is at least half a day of overlap with GMT+5 working hours.

What does the hiring process look like?

Three steps: a short intro call (30 minutes), a technical interview with an engineer (60–90 minutes, no leetcode — we discuss real product problems) and a final conversation with the founder. The whole process usually takes one to two weeks.

There is no suitable opening but I want to join — what should I do?

Write to us anyway at mail@statsnet.co. We are growing, and for strong candidates — analysts, product managers, sales specialists — we find a place beyond the published openings.