Job Title : Data Engineer
Location : Remote
Type : Full-time
About Us
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 Data Engineer to join our team and help empower businesses to unlock the full potential of their data.
About the Role
As a Data Engineer, you will leverage your in depth knowledge of Python, 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
3+ years of experience as a Data Engineer or as a Backend Developer in a data intensive environmentStrong knowledge of Apache IcebergExperience with attribute-based access control (ABAC) permissions to ensure data security across enterprise environmentsExperience working with teams in a collaborative environmentProficiency with data processing tools and frameworks (e.g., Rust is key)Strong knowledge of data warehousing concepts and best practicesExperience with cloud-based data solutions (AWS)Solid understanding of data modeling, ETL pipelines, and data integrityExcellent communication skills and team collaboration abilitiesNice to Have
Experience with graph databases or implementing graph-based data structuresPrevious work with LLM-based applications or AI agent systemsExperience with real-time data processing or streaming architecturesExperience of ML Ops & Data OpsStartup experience is a plusWhat We Offer
Ground-floor opportunity to shape data-driven AI solutions at a fast-growing startupWork alongside experienced founders and a driven teamCompetitive compensation + early equityRemote-friendly, flexible work culture