Senior AI / Data Engineer

🕒 vor 1 Monat

🗽 New York – Remote

🗽 New York – Remote

💵 $175.000 - $200.000 / Jahr

⏰ Vollzeit

🟠 Senior

🚰 Dateningenieur

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Order.co

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2016

☁️ SaaS

💳 Fintech

🤝 B2B

💰 €30.000.000 Series B - Order im 2022-01

SaaS • Fintech • B2B

Order. co ist eine KI-gestützte Beschaffungs- und Finanzplattform, die den Einkauf, die Kreditorenbuchhaltung, das Ausgabenmanagement und das Betriebskapital für Unternehmen optimiert. Das SaaS-Produkt automatisiert den gesamten Beschaffungszyklus – von der Anforderung bis zur Bezahlung – und bietet virtuelle, an Lieferanten gebundene Karten, AP-Automatisierung, automatisierten Abgleich sowie KI-gesteuertes Sourcing und Katalogmanagement, um Kosten und manuellen Aufwand zu reduzieren. Es integriert sich mit Buchhaltungssystemen (QuickBooks, NetSuite, Sage Intacct), Workday und SSO-Anbietern und richtet sich an Finanz- und Beschaffungsteams in wachsenden Unternehmen und Konzernen, die eine striktere Ausgabenkontrolle, Compliance und Effizienz anstreben.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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