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 Azure-based data pipelines and analytics solutions using Azure Fabric, Databricks, PySpark, and Data Factory to transform raw data into actionable business insights.
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
Senior Data Engineer builds and operates enterprise-scale data pipelines on AWS Lakehouse, implementing ELT/ETL, streaming ingestion, and DataOps practices to deliver trusted, analytics-ready datasets for healthcare operations.
Analyze banking systems and regulatory requirements for corporate treasury projects, gather business needs, and support AI-driven solutions for capital measurement and reporting.
Lead a team to architect and build scalable Python applications for market-risk stress testing and regulatory projects at a global bank.
Business systems analyst manages data-platform projects, gathers requirements, and delivers Tableau dashboards and ETL pipelines for Foxconn’s server-manufacturing plants.
Builds and maintains ETL pipelines and big-data processing systems for Foxconn’s server-manufacturing plants, using Apache tools, Cicada, and SQL/Python.
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Build data pipelines and analytics apps using Palantir Foundry, Databricks, and AWS to turn raw data into actionable insights for government missions like fraud detection and healthcare research.
Senior Data Engineering Analyst at Experian designs and maintains data pipelines to power global financial, healthcare, and mobility solutions using advanced data technologies.
Build and maintain scalable data pipelines and curated datasets for a modern Lakehouse and AI platform, using Python, SQL, Spark, and Snowflake to support analytics and AI use cases at a global investment bank.
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases at a global investment bank.
Role: Machine Learning / Big Data Software Engineer Location: Sunnyvale, CA (Hybrid) Key Requirements: Strong experience with Python, Java, or C++ Distributed systems and scalable applications Data processing pipelines…
Build predictive models and BI dashboards for insurers using Python/R, SQL Server, and Power BI to automate reporting and uncover business insights.
Designs and enforces data architecture, governance, and ETL pipelines for a financial services firm using Hadoop, Spark, and AWS.
Build and deploy ML models using Python, TensorFlow/PyTorch, and cloud tools; engineer features, optimize pipelines, and productionize AI systems with MLOps.
Build and maintain ETL pipelines that transform global street data into optimized formats for Esri’s routing and network analysis tools using Python, SQL, and cloud/containerized workflows.
Lead the development and maintenance of scalable, reliable data pipelines and data processing frameworks supporting a variety of business and product use cases. Ensure data quality, integrity, and readiness by…
Designs and maintains data pipelines, builds reports, and analyzes financial data using SQL, ETL tools, and visualization platforms like Power BI.
Design and build scalable data infrastructure for a food & beverage supply-chain platform, including pipelines, warehouses, and analytics systems that power AI-driven products.
We couldn't check your fit for this role — add a CV to your profile to see it next time.