Oraion is your single source of truth for enterprise data. Oraion uses agentic AI to turn structured and unstructured enterprise data into non-obvious insights, instantly.
Oraion helps you make faster, more informed decisions and even automate complex tasks, all through a self-serve, chat-based AI agent embedded in your existing workflow such as Slack, Teams or via our Enterprise Intelligence Platform.
We're looking for a hands-on, detail-oriented Senior Data Engineer to join our team and help empower businesses to unlock the full potential of their data.
About the Role
As a Senior Data Engineer, you will leverage your in depth knowledge of Rust, orchestration (we use dagster) data pipelines dlt, dbt) in AWS, Postgres/Aurora and Apache Iceberg to build an efficient and performant data backend for our multi-tenant SAAS application. At all times you will have a product mindset, finding ways to automate with AI agents and recommend new features for our product.
Responsibilities
- Build and maintain a scalable data backend for our enterprise data platform
- Design data storage solutions that are efficient, secure, and scalable
- Collaborate with backend and frontend teams to integrate data solutions
- Optimize data processing workflows for performance and reliability
- Develop and maintain ETL processes using modern data tools (dagster, dlt, dbt)
- Document data architecture and processing workflows
- Build performant, efficient apis
- Work closely with stakeholders to understand data needs and translate them into technical solutions
Requirements
- 5+ years of experience as a Data Engineer/Backend Developer in a data intensive environment or in a similar role
- Strong, expert level knowledge of Apache Iceberg
- Experience with attribute-based access control (ABAC) permissions to ensure data security across enterprise environments
- Experience working with teams in a collaborative environment
- Proficiency with data processing tools and frameworks (e.g., Rust is key)
- Strong knowledge of data warehousing concepts and best practices
- Experience with cloud-based data solutions (AWS)
- Solid understanding of data modeling, ETL pipelines, and data integrity
- Excellent communication skills and team collaboration abilities
- Experience with graph databases or implementing graph-based data structures
- Previous work with LLM-based applications or AI agent systems
- Experience with real-time data processing or streaming architectures
- Experience of ML Ops & Data Ops
- Startup experience is a plus
What We Offer
- Ground-floor opportunity to shape data-driven AI solutions at a fast-growing startup
- Work alongside experienced founders and a driven team
- Competitive compensation + early equity
- Remote-friendly, flexible work culture
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