Publié il y a 27 jours
Data Mining Engineer, Software
@ arcadia
Toronto, Ontario
Responsabilités :
- Build systems for creating, deploying, scheduling, monitoring and maintaining large fleets of scrapers.
- Acquire information from websites, APIs, PDFs, spreadsheets, procurement platforms and legacy systems.
- Develop orchestration, concurrency, retries, backfills, change detection and failure recovery.
- Monitor data quality and identify broken sources or incorrect extraction.
- Build abstractions that make new sources easier and cheaper to onboard.
Résumé des exigences :
- Relevant experience:
- Alternative data, search infrastructure, knowledge graphs or document processing.
- 2-6+ years of software and data engineering experience
- Strong software engineering ability, production systems experience and the autonomy to define an approach from a broad business objective
- Strong experience with Python/Go, ETL, React, Docker, Kuberenetes
- Experience working with LLMs and ai agents are a plus
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-14
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
arcadia
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 2 |
A fast growing, series A start up is hiring for a Software, Data Mining Engineer to join their growing team. They are focused on building the data and intelligence layer for the public sector. Its platform turns fragmented information from government websites, procurement systems, budgets, meeting records and public documents into actionable intelligence for businesses selling to government. You will be responsible for owning the infrastructure that discovers, acquires and processes public-sector information at scale.
What You’ll Do:
- Build systems for creating, deploying, scheduling, monitoring and maintaining large fleets of scrapers.
- Acquire information from websites, APIs, PDFs, spreadsheets, procurement platforms and legacy systems.
- Develop orchestration, concurrency, retries, backfills, change detection and failure recovery.
- Monitor data quality and identify broken sources or incorrect extraction.
- Build abstractions that make new sources easier and cheaper to onboard.
Relevant experience:
- Web crawling, scraping or browser automation.
- Large-scale external data ingestion and aggregation.
- Distributed systems and reliable data pipelines.
- Alternative data, search infrastructure, knowledge graphs or document processing.
- Data quality, monitoring and operational reliability.
What We’re Looking For:
- 2-6+ years of software and data engineering experience
- Strong software engineering ability, production systems experience and the autonomy to define an approach from a broad business objective
- Strong experience with Python/Go, ETL, React, Docker, Kuberenetes
- Experience working with LLMs and ai agents are a plus
- Bachelors in Computer Science, Mathematics, Statistics or similar
Journal
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