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.
Our Story At Alight, we believe a company’s success starts with its people. Alight embraces values that come directly from our people – purposeful, human, united and growth-minded – reflecting our inclusive culture and…
We are looking for a Lead Data Engineer to drive the design and implementation of scalable data solutions, pipelines, and analytics-ready datasets. What You’ll Do Lead design and implementation of data pipelines,…
Designs and builds cloud-based data pipelines and infrastructure for real-time analytics in the finance/stock exchange industry using AWS, GCP, or Azure.
Senior backend engineer building and scaling an event-driven SaaS platform that ingests IoT device telemetry via Kafka and streams enriched location data to partners and APIs.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines across GCP, AWS, and Azure while embedding governance, quality, and security controls.
Job Requisition ID # 26WD100353 Position Overview The the company Info360 Operational Analytics team is building the data infrastructure that powers modern water management, helping utilities monitor, predict, and…
Build and maintain scalable microservices and APIs in TypeScript/Node.js and Python, orchestrating AWS services and event-driven workflows for a fintech platform.
Build cloud-native data platforms and MLOps workflows, designing ETL/ELT pipelines, data lakes/warehouses, and feature stores for AI/ML and analytics.
Builds and optimizes data pipelines, storage systems, and analytics platforms using Python, Spark, SQL, and cloud tools (AWS/Snowflake) to enable real-time insights and predictive modeling for a global financial services firm.
Designs and maintains scalable data pipelines using Spark, Kinesis, Kafka, and AWS to ingest, transform, and deliver high-quality data for analytics and modeling.
Builds a high-throughput, distributed advertising marketplace platform in Java/Kotlin/Spring Boot, designing scalable ledgers, API contracts, and cross-team integrations with AWS-native infrastructure while leveraging AI coding agents in production workflows.
Lead the design and delivery of a new cloud-based credit risk data domain using AWS, Java, and real-time data technologies to build secure, scalable pipelines and data products.
Design and maintain scalable data pipelines using Python, Spark, and cloud platforms to process and transform raw data into analytics-ready datasets.
Design and implement AWS cloud solutions, migrate on-prem workloads to AWS, and lead cloud strategy for clients using services like S3, Redshift, Glue, and CloudFormation.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and data platforms to support analytics and reporting in a regulated environment using SQL, Python, and Spark.
Build backend services in Java/Spring for a DeFi protocol serving institutional users, focusing on reactive programming and AWS infrastructure.
Designs and implements data ingestion frameworks for batch and real-time streams, building scalable data warehouses and lakes to support low-latency analytics.
Designs and builds batch and real-time data pipelines using AWS Kinesis, Kafka, and data warehouses/lakehouses for low-latency analytics.
Builds and optimizes Snowflake/AWS data pipelines, automates ETL/ELT workflows, and ensures data quality/governance while deploying cloud infrastructure with Terraform and CI/CD tools like GitLab/GitHub Actions.
Key Responsibilities - Model Complex Banking Data in Neo4j: Design and implement graph data models representing customers, accounts, transactions, devices, and their interconnected relationships. - Apply Graph Data…
We couldn't check your fit for this role — add a CV to your profile to see it next time.