Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and scale Grafana's open-source Tempo distributed tracing backend, improving performance, reliability, and AI-driven observability features for cloud-scale telemetry.
Staff Software Engineer builds and scales Grafana’s open-source Tempo distributed tracing backend, optimizing ingestion, storage, and query performance for observability at cloud scale.
Build and scale Grafana's open-source Tempo distributed tracing backend, improving performance, reliability, and platform capabilities for observability products.
Lead the architecture and development of Grafana's distributed tracing database, Tempo, focusing on scalability, performance, and operational excellence to power next-gen observability products.
Lead the architecture and development of Grafana's Tempo, a distributed tracing backend, focusing on scalability, performance, and operational excellence for observability products.
Привет! 👋 Мы — дата-инженерная команда внутри Управления экспериментальных систем машинного обучения SberAI. Наша миссия — поставлять качественные мультимодальные датасеты в продуктовые команды, которые развивают…
Senior Data Engineer building data processing pipelines and AI-driven tools for tax services delivery, primarily using Python, Apache Spark (Databricks/Synapse), and Azure cloud services.
A Fabric Solution Architect designs, implements, and governs end-to-end data and analytics solutions using Microsoft Fabric. This role bridges business requirements with technical architecture, ensuring scalable, secure, and high-performing data platforms leveraging Fabric components such as Lakehouse, Data Warehouse, Data Engineering, Data Science, Real-Time Intelligence, and Power BI.
Designs and builds scalable data platforms, pipelines, and architectures using Kafka, Pub/Sub, Kubernetes, and other tools; leads PODs, makes architecture decisions, mentors engineers, and deploys GCP resources as code.
Build and scale low-latency data pipelines and distributed systems to deliver real-time security insights using cloud data platforms like Snowflake and Databricks.
Senior Data Engineer building metadata catalogues, lineage integration, and semantic layers in Python, SQL, and Kafka to enable AI agents to securely access and reason over data at a global investment management firm.
Our client is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. They are the largest quantum software company in the EU, with 250+…
The Principal Data Engineer will lead the design and evolution of ASX's large-scale data platform, focusing on data lake and data mesh architectures using AWS, Apache Spark, dbt, and Airflow. The role involves building reusable frameworks, driving DataOps adoption, and collaborating with cross-functional teams to ensure scalable and compliant data solutions.
Hands-on data engineer building production data pipelines and agentic AI components (RAG, tool-calling agents) for clinical and non-clinical data at Lilly, using Python, Spark/PySpark, Databricks, and LLM frameworks in a regulated pharma environment.
Software Engineer on the Data Platform team in Dallas, building and supporting batch and streaming data pipelines, curated datasets, and data quality controls on a modern Lakehouse/AI data stack using SQL, Spark, Python/Java, and tools like Snowflake, Databricks, and Iceberg.
Analyze intercepted electronic signals to produce actionable intelligence for national security, using SIGINT tools and AI/ML pipelines to process and validate data.
Principal Data Platform Architect designs and presents Snowflake’s cloud data platform to enterprises, guiding architecture decisions and POCs while bridging business and technical needs.
This role is a 6-month contract for a Senior Data Science Developer to design and maintain cloud-based data lakehouse structures and pipelines within an Azure environment. The position involves migrating legacy data pipelines to Databricks and requires strong proficiency in Python, SQL, and Azure data services.
This senior software developer role focuses on designing and maintaining complex ETL/ELT data pipelines and Medallion Data Lakehouse architectures within an Azure environment. The position involves heavy use of Databricks, PySpark, and SQL to manage data ingestion, quality, and reporting for mission-critical systems.
This role is for a Senior Systems Testing/QA Specialist to lead testing efforts for a Health Data Utility project. The position involves performing functional and non-functional testing, managing test automation, and validating complex data pipelines within an Azure-based environment.
We couldn't check your fit for this role — add a CV to your profile to see it next time.