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.
Senior data engineer builds and maintains Databricks-based data warehouse and real-time pipelines for a financial trading business, modeling trades, positions, and market data.
Build core components of a cloud-native streaming database in Rust, focusing on connectors, CDC, and real-time data pipelines for systems like Kafka and PostgreSQL.
Senior engineer building scalable data infrastructure for real-time network security analytics using Python, Kafka, and Kubernetes in a cloud-native environment.
Build and own a bare-metal Kubernetes platform from scratch using Talos Linux, Cilium, Terraform, and GitOps, focusing on networking, observability, and stateful services like PostgreSQL and Kafka.
Build and maintain scalable data pipelines using Spark, Azure Synapse, and Databricks to feed Manulife’s Enterprise Data Lake, ensuring reliable analytics for insurance and financial operations.
Design and build scalable data integration pipelines using Kafka, Flink, and APIM to enable real-time and batch data ingestion for enterprise clients, with a focus on finance data transformation.
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence . We work with…
Staff Software Engineer in the Realtime & Streaming team at Judi Health, responsible for designing, building, and operating streaming infrastructure including WAL replication and event streaming platforms. The role involves leading batch-to-streaming migrations, setting technical standards, and ensuring timely event delivery across various data consumers.
Build and maintain Azure-based data pipelines using Python/PySpark and Databricks, automating ETL processes and integrating data sources for a global background-screening platform.
Builds and scales a modern data platform from scratch using ClickHouse, Python, and Kafka to power a large retail chain’s analytics and operations.
Lead a team of data platform engineers to build and scale real-time streaming systems, AI-driven automation, and cloud-native data infrastructure for a fintech company.
Build and maintain open-source data platforms using Python, SQL, Spark, and Kubernetes; develop ingestion pipelines, debug configs, and deploy dataflows under senior guidance.
Own PostgreSQL on AWS Aurora in a cloud-native, event-driven data stack, tuning performance, automating ops, and ensuring high availability and disaster recovery across distributed systems.
Build and run a high-throughput event-streaming platform (Kafka/Redpanda) and CDC pipelines to move trading data with low latency, using Terraform, ArgoCD, and Kubernetes.
Design and run a high-throughput, low-latency event streaming platform (Kafka/Redpanda) that connects trading systems, using CDC with Debezium and optimizing pipelines.
Builds and maintains real-time CDC pipelines and streaming data flows for a data-collection platform using SQL, Python, Spark, Kafka, Debezium/Confluent, and NiFi.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze-Silver-Gold layers.
Builds and optimizes data pipelines for banks using Python, ETL tools (Informatica, Airflow, Spark), and databases (Oracle, ClickHouse) to support regulatory reporting and analytics.
Leads a data engineering team building and scaling Databricks-based pipelines, warehouses, and governance to support Miridi’s design-commerce platforms and AI initiatives.
Design and lead Gravie’s next-gen operational data platform, building real-time streaming pipelines with Kafka, Flink, and Debezium while ensuring HIPAA-compliant data governance and canonical modeling for healthcare claims and enrollment.
We couldn't check your fit for this role — add a CV to your profile to see it next time.