Design and implement large-scale distributed data processing systems.
Build robust data pipelines and infrastructure that transform complex data into actionable insights.
Architect data lakes, warehouses, and real-time streaming platforms.
Cloudbeds is transforming hospitality with an intelligently designed platform that powers properties across 150 countries. With a completely remote team of 650+ employees across 40+ countries, they are solving challenges and redefining what's possible in hospitality.
Define, plan, and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automation.
Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization.
Test-driven development of scalable data processing applications.
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.
Architect and maintain robust data pipelines to transform diverse data inputs.
Integrate data from various sources into a unified platform.
Build APIs with AI assistance to enable secure access to consolidated insights.
Abusix is committed to making the internet a safer place. They are a globally distributed team that spans multiple countries and thrives in a culture rooted in trust, ownership, and collaboration.
Design scalable, future-proof data platforms optimized for AI research workloads.
Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
Implement guardrails for cost, quality, and performance.
AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.
Design and implement efficient data pipelines using Python and AWS services.
Ensure data quality, reliability, and scalability across multiple sources and formats.
Collaborate closely with data analysts, software engineers, and product teams to deliver actionable insights.
They're looking for a Mid-Level Data Engineer with strong technical skills and a passion for building scalable data solutions. They did not include information on their size or culture.
Designing, architecting, and implementing modern, secure, cloud-native data platforms on Azure.
Building the underlying infrastructure that makes data accessible for a new wave of data-powered apps and GenAI services.
Moving beyond traditional ETL to leverage big data to create innovative new applications and build AI solutions.
Nordcloud is a European leader in cloud implementation, application development, managed services and training. They have over 1,300 employees and have delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates.
Write and deploy crawling scripts to collect source data from the web
Write and run data transformers in Scala Spark to standardize bulk data sets
Write and run modules in Python to parse entity references and relationships from source data
Sayari is a risk intelligence provider equipping sectors with visibility into commercial relationships, delivering corporate and trade data from over 250 jurisdictions. Headquartered in Washington, D.C., its solutions are trusted globally and recognized for growth and workplace culture.
Drive architectural vision for scalable, distributed data systems across SaaS and self-managed deployments.
Establish enterprise data governance frameworks including lineage, quality controls, versioning, and compliance practices.
Architect monetizable data services and APIs with semantic models serving internal analytics and external product offerings.
GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. GitLab's high-performance culture is driven by their values and continuous knowledge exchange, enabling team members to reach their full potential.
Advance conviction in decision-making throughout Juul Labs.
Build models to analyze various datasets across the organization, leveraging commercial sales and execution data.
Develop new systems and tools to enable stakeholders to consume and understand data more intuitively.
Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products.