Senior AI / Data Engineer

🕒 May 27

🗽 New York – Remote

🗽 New York – Remote

💵 $175k - $200k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Order.co

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

💳 Fintech

🤝 B2B

💰 $30M Series B - Order on 2022-01

SaaS • Fintech • B2B

Order. co is an AI-powered procurement and finance platform that streamlines purchasing, accounts payable, spend management, and working capital for businesses. The SaaS product automates the full procurement lifecycle—from requisition to payment—offers virtual vendor-locked cards, AP automation, automated reconciliation, and AI-driven sourcing and catalog management to reduce costs and manual work. It integrates with accounting systems (QuickBooks, NetSuite, Sage Intacct), Workday, and SSO providers, targeting finance and procurement teams at growing companies and enterprises seeking tighter spend control, compliance, and efficiency.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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