As Casechek’s Data Analytics Engineer, you will be responsible for building and optimizing data pipelines, developing robust data models, and enhancing analytics capabilities; you will partner with business teams to design scalable solutions and implement end-to-end analytics solutions using modern technical stack.

You will work on designing, building, and optimizing systems that extract, enrich, and process metadata at scale as part of the ML Data Engineering team. You’ll collaborate closely with machine learning teams, product managers, and other engineers to ensure the smooth integration and processing of vast amounts of structured metadata.

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.

We are looking for a Senior Machine Learning Engineer to help us build new datasets and pipelines for in-vehicle navigation applications. As a Machine Learning Engineer, you will have the opportunity to work on the Search Data team at Mapbox. You will work with diverse datasets at scale (up to 1TB).

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.

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.

Build and maintain scalable and performant ETL data pipelines from analysis to production. Able to perform both new feature development and maintenance on all Civitas ETL data pipelines and infrastructure. Able to optimize existing data flow architecture for performance improvement and cost reduction. Able to work across multiple products and engineering teams to resolve customer issues.