As a Staff Data Engineer in the Host Pricing & Settings team, you will define the vision, technical design, and implementation of systems that ensure the integrity, correctness, efficiency, and consistency of data to drive the evolution of pricing guidance and personalization for the Host community. Your expertise in designing and implementing scalable systems will be essential in building a robust data infrastructure that safeguards user data.

Join a global team pushing the boundaries of Pricing & Underwriting through data to design, build and evolve Prima’s proprietary predictive technology, covering areas like future claims, tactical pricing, fraud detection and customer lifetime value. Support countries in planning pricing and UW strategy. By applying for this role, you'll be considered for one of two global teams.

As a Staff Data Engineer on the H1DN Team, be a hands-on technical leader, directly contributing to the development of scalable and efficient data architectures. Collaborate with two IC team members, guiding them while actively participating in the work. This role centers on data ingestion and enrichment workflows, ensuring seamless integration of client data from various sources and addressing scalability, data quality, and standardization challenges.

Be part of the team responsible for developing and enhancing Oportun’s core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score. You will be on the cutting edge working with large and diverse alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, take-up rates and fraud.

We are seeking a highly experienced Staff Data Engineer to lead the design, development, and optimisation of our data architecture, pipelines, and workflows. This role will serve as a technical lead within the organisation, setting best practices, mentoring team members, and solving complex data challenges to enable data-driven decision-making at scale.

We’re looking for a Senior Data Engineer to be a part of our growing Data team, responsible for working directly on the data pipelines and systems that create our Hungryroot Analytics data model used to inform financial decision making, product development, inventory management and more.

Join the Data Engineering team to collect data, maintain ETL pipelines, and develop new pipelines that power Sayari Graph processing terabytes of data collected from hundreds of data sources using TypeScript, Kubernetes, Postgres, Cassandra, Elasticsearch, and Memgraph. Contribute to the growing library of open-source work and the WebGL-powered network visualization library Trellis.

You will be a key contributor to Red Canary's mission to harness data for securing organizations and by building and optimizing robust data pipelines and frameworks, you will ensure that their platform continues to deliver actionable, data-driven insights to their customers and solve complex data challenges.

We are seeking a highly skilled and motivated Machine Learning Engineer. You will design, implement, and deploy ML models that directly impact our product and customers, collaborating closely with cross-functional teams to drive data-driven decision-making and innovation.

The AI Data Infra team is responsible for storage, access, and curation of the data across the company and across all the ML use cases; this role requires designing the architecture and leading a team to build a robust data platform that powers all the next-gen AI Autonomous Vehicle applications in the company.