Job Title: Senior 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 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 platformDesign data storage solutions that are efficient, secure, and scalableCollaborate with backend and frontend teams to integrate data solutionsOptimize data processing workflows for performance and reliabilityDevelop and maintain ETL processes using modern data tools (dagster, dlt, dbt)Document data architecture and processing workflowsBuild performant, efficient apisWork 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 roleStrong, expert level 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 abilitiesExperience 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 plus What 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