Senior AI / Data Engineer

🕒 Maio 27

🗽 New York – Remoto

🗽 New York – Remote

💵 $175.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Order.co

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2016

☁️ SaaS

💳 Fintech

🤝 B2B

💰 $30.000.000 Series B - Order em 2022-01

SaaS • Fintech • B2B

A Order. co é uma plataforma de procura e finanças impulsionada por IA que simplifica as compras, contas a pagar, gestão de despesas e capital de giro para empresas. Este produto SaaS automatiza todo o ciclo de vida de compra — da requisição ao pagamento — oferece cartões virtuais bloqueados para fornecedores, automação de contas a pagar, reconciliação automatizada e gestão de catálogos e aprovisionamento impulsionada por IA para reduzir custos e trabalho manual. Integra-se com sistemas de contabilidade (QuickBooks, NetSuite, Sage Intacct), Workday e provedores de SSO, visando equipes de finanças e compras em empresas em crescimento e grandes corporações que buscam maior controle de despesas, conformidade e eficiência.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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