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 build scalable AWS-based data pipelines using Python, Spark, and cloud-native services to power analytics and reporting.
Build and optimize scalable data pipelines using Python, Spark, and AWS services like Glue, EMR, and S3 to power a modern data platform for financial indices.
Lead a 5–7 person team to design, build, and scale low-latency data infrastructure for a high-frequency trading firm, using Python, Java, Kafka, and Delta Lake/Iceberg.
Design end-to-end big-data architectures (Data Lakehouse, Data Mesh) and scalable ETL/ELT pipelines using Spark, Delta Lake, Iceberg, and cloud platforms (AWS/Azure/GCP).
Build and optimize cloud data pipelines and lake house architectures for a global iGaming provider, migrating on-prem systems to AWS/Azure and implementing Kafka-driven streaming pipelines.
Designs and builds cloud data platforms on AWS, Azure, and GCP using SQL, Python, and ETL best practices for enterprise clients.
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
Senior Data Engineer designs and governs enterprise-scale data platforms, virtualization layers, and real-time pipelines using Denodo, Qlik Talend/Replicate, and IBM WatsonX Orchestrate.
Build and optimize real-time risk and fraud systems for Wise’s North American market using Java/Kotlin and Spring, ensuring sub-second latency while processing billions in transactions.
Senior Data Engineer builds scalable batch and real-time data pipelines on a Lakehouse platform using Snowflake, Databricks, AWS, Kafka and Flink to power analytics and AI across a property-tech marketplace.
Designs and delivers end-to-end big data solutions for global enterprises, modernizing architectures and leading cloud migrations for industries like e-commerce, gaming, and fintech.
Build and maintain scalable data pipelines and a modern Lakehouse platform using Snowflake, Databricks, AWS, Kafka, and Flink to power analytics and ML across a large real-estate marketplace.
SAIC is seeking a highly experienced System Administrator Expeditionary Systems (OpAI) to contribute to the integration of AI capabilities into expeditionary systems, including sensor kits, UxS, C2, and TAK. The…
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference…
The Space Telescope Science Institute (STScI), operated by the Association of Universities for Research in Astronomy (AURA), is NASA’s science operations center for missions including the Hubble and James Webb Space…
Build and automate Apple Ads’ Snowflake-based cloud data warehouse on AWS, using Iceberg lakehouse tech and Python to deliver reliable, scalable advertising analytics and pipelines.
About the role This is a hands-on, senior individual-contributor role with a strong passion on building a possible vendor neutral lakehouse. You will own data pipelines end to end and build out the governance and…
Build and scale a centralized feature platform that powers Wise’s real-time fraud and AML detection systems using Java, Kafka, and stream processing.
Principal engineer designs and owns a lakehouse engine (Iceberg/Trino) that replaces cloud data warehouses in on-premise healthcare deployments, setting architecture, standards, and SQL dialect strategy.
Design and maintain scalable data pipelines for streaming and batch processing using Apache Pinot, Iceberg, Flink, and Spark to power Webex analytics.
We couldn't check your fit for this role — add a CV to your profile to see it next time.