Senior Data Engineer
The Senior Data Engineer at HackerOne is responsible for leading the end-to-end design and delivery of scalable, secure, and intelligent data products and solutions to support the company's transformation into an AI-first organization. This role involves partnering across business and engineering teams to identify opportunities for automation, integration, and system modernization, driving the architecture and execution of platform-level capabilities by leveraging AI and modern tooling to reduce manual effort, improve decision-making, and increase system resilience. The engineer will provide technical leadership to internal engineers and external development partners to ensure design quality, operational excellence, and long-term maintainability, shape and contribute to incident and on-call response strategies, playbooks, and processes to build systems that fail gracefully and recover quickly, mentor other engineers and advocate for technical excellence, and promote a culture of innovation and continuous improvement. Additionally, the role includes championing effective change management to ensure systems are successfully launched, adopted, understood, and evolved.
Staff Data Warehouse Engineer
As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You participate in on-call rotation (Pagerduty) to respond to production incidents. You build and run infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users. You build monitoring systems to ensure the highest quality service for customers. You design and implement operational processes such as deployments and upgrades. You debug production issues across all services and levels of the stack. You identify improvements for the product architecture from the reliability, performance and availability perspectives. You plan the growth of Together AI's infrastructure.
Senior AI Data Pipeline Engineer
Design and build high-performance, scalable data pipelines to support diverse AI and Machine Learning initiatives across the organization. Architect and implement multi-region data infrastructure to ensure global data availability and seamless synchronization. Develop flexible pipeline architectures that allow for complex branching and logic isolation to support multiple concurrent AI projects. Optimize large-scale data processing workloads using Databricks and Spark to maximize throughput and minimize processing costs. Maintain and evolve the containerized data environment on Kubernetes, ensuring robust and reliable execution of data workloads. Collaborate with AI researchers and platform teams to streamline the flow of high-quality data into training and evaluation pipelines.
Member of Technical Staff - Data Ingestion Engineer
The role involves building and operating large-scale data ingestion systems for pre-training, including web crawling, extraction, and dataset delivery. The engineer will run experiments to evaluate crawling strategies, extraction methods, and ingestion tradeoffs. They will analyze ingested data to identify gaps, redundancy, and areas for improvement. Responsibilities also include building ingestion pipelines that scale reliably across large data campaigns, developing specialized crawlers for high-priority data sources, reviewing code, debugging production issues, and continuously improving the ingestion infrastructure. The role requires close collaboration with pre-training and data quality teams and working directly with researchers to link data collection to model performance.
Software Engineer, Distributed Data Systems
As a Data Engineer, you will architect and build the data infrastructure that powers all company operations, including crawling billions of pages, training embedding models, and serving real-time search. You will have autonomy in designing systems that scale to hundreds of petabytes. Responsibilities include designing lakehouse architectures, building and operating large-scale distributed data processing pipelines, creating streaming pipelines for real-time indexing, architecting data layers for embedding training infrastructure, and scaling deployments to handle analytical queries across petabytes of data.
Data Engineer – Spark Specialist
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make customers successful. Scope and co-develop production-level data science projects with customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Data Engineer
The Data Engineer will design, build, and maintain data pipelines, manage data ingestion, and develop reliable data models to support AI and ML workflows. The role also involves close collaboration with ML and product teams to ensure clean, structured, and high-quality data delivery for analytics and product features.
AI Pilot Vibe Coding Assistant (Freelance)
AI Pilot Vibe Coding Assistants collaborate with AI-driven systems to generate, refine, and submit accurate, well-structured outputs based on complex prompts. They handle coding, automation, data processing, troubleshooting technical issues, and improving AI output quality across diverse domains.
Data Engineer
The Data Engineer will design, build, and maintain scalable data pipelines to support analytics and data-driven decision making at Replit. They will collaborate across teams to deliver ETL/ELT workflows, ensure data quality, and build unified data models for in-depth analysis.
Data Operations Manager
Build and scale data and financial operations to support deployment and growth of AI agents for major institutional clients. Take ownership of billing, collections, data infrastructure, dashboards, and cross-functional operations to provide actionable, real-time visibility to business leaders.
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