Senior AI / Data Engineer

🕒 il y a 2 mois

🗽 New York – Distant

🗽 New York – Remote

💵 $175 000 - $200 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Order.co

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2016

☁️ SaaS

💳 Fintech

🤝 B2B

💰 €30 000 000 Series B - Order en 2022-01

SaaS • Fintech • B2B

Order. co est une plateforme d'approvisionnement et de finance alimentée par l'IA qui simplifie l'achat, les comptes fournisseurs, la gestion des dépenses et le fonds de roulement pour les entreprises. Le produit SaaS automatise l'ensemble du cycle de vie des achats - de la demande de prix au paiement - propose des cartes virtuelles bloquées sur les fournisseurs, l'automatisation des comptes fournisseurs, le rapprochement automatisé, et la gestion des sources et des catalogues alimentée par l'IA pour réduire les coûts et le travail manuel. Il s'intègre aux systèmes comptables (QuickBooks, NetSuite, Sage Intacct), à Workday, et aux fournisseurs SSO, ciblant les équipes financières et d'approvisionnement des entreprises en croissance et des grandes entreprises cherchant à mieux contrôler leurs dépenses, à assurer la conformité, et à accroître l'efficacité.

Description

• Design, build, and maintain scalable data pipelines, integrations, and AI workflows • Develop reliable and maintainable ETL/ELT systems that support analytics, operational reporting, and AI-driven products • Contribute to the architecture and evolution of the company’s data platform and AI infrastructure • Continuously optimize data architecture to support evolving business and product requirements • Develop infrastructure automation and deployment workflows to improve engineering velocity and operational consistency • Implement infrastructure as code (IaC) practices using tools such as Terraform or CloudFormation • Build and maintain CI/CD pipelines and automated testing workflows • Develop monitoring, alerting, and observability solutions for data and AI systems • Improve reliability, scalability, and operational efficiency through automation • Contribute to production-ready AI systems and workflows where they provide measurable business value • Mentor junior and mid-level engineers through code reviews, pairing, and technical guidance

🎯 Exigences

• Strong proficiency in Python and SQL • Hands-on experience with data orchestration tools (preferably Airflow, Dagster, or AWS Step Functions) • Proven experience building and operating AWS cloud infrastructure, particularly services such as Lambda, ECS, and SQS • Experience implementing infrastructure as code using Terraform or similar tooling • Strong experience designing event-driven, serverless architectures using AWS Lambda, API Gateway, EventBridge, and SQS/SNS • Hands-on experience working with large-scale data platforms in production environments (preferably Spark/PySpark, AWS Glue, or EMR) • Strong understanding of AWS data lake technologies including S3, Glue Catalog, and Lake Formation • Hands-on experience with cloud data warehouses (preferably Snowflake) including schema design, performance tuning, cost optimization, and access control • Experience designing and maintaining reliable ETL/ELT pipelines and distributed data workflows • Hands-on experience with SQL-based transformation frameworks such as dbt (Core or Cloud) • Familiarity with CI/CD systems and tooling such as GitHub Actions or CircleCI • Understanding of observability, monitoring, and operational best practices for data systems • Strong understanding of data security, access controls, and protecting sensitive data • Experience building automation and operational tooling using Python or similar languages • Familiarity with production AI/ML workflows and operational considerations for AI-enabled systems • Experience using AI-assisted engineering tools (e.g., Claude Code, Codex, GitHub Copilot) responsibly to improve productivity and engineering quality

🏖️ Avantages

• Competitive compensation including base salary, bonus, and equity • Employer-sponsored 401(k) with match • Comprehensive medical, dental, and vision coverage • Flexible time off and hybrid work environment