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.
Design and operate a self-service database platform using Terraform and Ansible, scaling PostgreSQL and ClickHouse clusters while automating incident response and Kubernetes-based stateful workloads.
Builds and optimizes an open analytics stack (ClickHouse, Cube.js, Superset) by designing a semantic layer and robust ELT pipelines to replace Power BI logic.
Builds and refines the pricing-optimization engine that powers Fetcherr’s AI-driven revenue management system using Python, mathematical optimization, and PyData tools.
Senior Data Engineer builds and optimizes a lakehouse architecture and ClickHouse deployments, plus ETL/ELT pipelines for a Polish real-estate firm using Python and SQL.
Design and optimize large-scale data pipelines and real-time analytics platforms using Apache Druid, Kafka, and SQL for a B2B IT outsourcing client.
Build and own scalable AI/ML data pipelines and real-time streaming systems using Python, Spark, Airflow, Kafka, and cloud services like SageMaker and Snowflake.
Build and scale ad-tech data infrastructure that processes billions of events daily, transforming raw ad server and SSP/DSP data into real-time analytics for campaign optimization and business intelligence.
Senior Data Engineer builds scalable pipelines to process billions of market data records for trading systems using Python, SQL, Spark, and Kafka.
Senior Data Engineer builds high-performance data pipelines and lakehouse architecture using ClickHouse, Postgres, and open-source tools to power real-estate analytics and products.
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Build and maintain scalable, data-heavy web apps for global eCommerce clients using Next.js, React, Node.js, PostgreSQL, ClickHouse, and Kafka.
Build and maintain Patchman’s backend infrastructure, CI/CD pipelines, and Kubernetes-based systems while debugging complex issues and collaborating on scalable, high-throughput services.
Build and maintain a React-based analytics dashboard that visualizes large e-commerce datasets using AWS services like ClickHouse, Lambda, and Glue.
Build AI-enhanced features and scalable APIs for a high-performance database, integrating AI capabilities with user-friendly interfaces.
Maintain Kubernetes clusters, automate CI/CD with GitLab and FluxCD, and improve observability using Prometheus, Grafana, and Sentry for a global crash-game platform.
Build and maintain CI/CD pipelines, Kubernetes clusters, and monitoring for a trading-risk platform used by a large US bank, working with Linux, Docker, GitLab, and Python.
Build and maintain CI/CD pipelines and DevOps tooling to streamline development workflows for a data-driven AI platform serving global enterprises.
Build and maintain high-load Java microservices for digital customer engagement platforms, including audience segmentation, installment plans, and integrations with verification services.
Build and maintain scalable, low-latency Java backend services on AWS for a SaaS AI risk decisioning platform used by banks and fintechs to detect fraud and manage compliance.
We couldn't check your fit for this role — add a CV to your profile to see it next time.