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.
Designs and maintains data pipelines, models, and transformations for clients in finance, energy, gaming, and telco using Python, PySpark, SQL, and cloud platforms like Azure.
Lead the design, development, and deployment of AI/ML models—including Agentic and Generative AI—to automate and optimize financial data reconciliation at enterprise scale for a global bank.
Build and maintain PySpark-based data pipelines and SQL queries to process financial data for a rapidly growing AI company, working onsite in a 6-month contract role.
Designs and maintains scalable, event-driven data pipelines in AWS using Kafka (MSK), AWS Glue, and Python to power a company-wide Operational Data Store.
Leads a team to build and maintain a cloud-native Master & Reference Data platform (MDM/RDM) using Kafka, AWS services, and microservices, ensuring trusted, scalable data across Aviva’s business domains.
Leads a team to build and maintain a cloud-native Operational Data Store (ODS) using Kafka, AWS Glue, ECS, and containerized microservices, ensuring scalable, event-driven data pipelines for enterprise-wide data access.
Designs and builds analytics-ready datasets and AI-augmented data products for insurance domains like Property & Casualty, Life & Health, or Finance, ensuring data quality, governance, and business usability.
Designs and leads enterprise-scale Databricks Lakehouse platforms on Azure, AWS, or GCP, including governance, security, and AI/ML workloads, while migrating legacy systems and mentoring teams.
Lead the technical vision for Capital One’s cloud-based data ecosystem, designing distributed processing, storage, and real-time analytics to power AI/ML and customer experiences in financial services.
Builds ML and statistical models to detect threats, prioritize vulnerabilities, and enrich security operations using Python, SQL, and Databricks for large-scale cybersecurity datasets.
Build and maintain scalable Azure data pipelines and warehouses using Data Factory, Databricks, and Synapse to enable data-driven decisions across engineering projects.
Lead a team building and optimizing scalable data pipelines on Databricks/AWS using Python/PySpark, ensuring secure, high-quality production code and operational stability for JPMorganChase’s financial systems.
Build and deploy generative AI and agentic systems in Python to improve healthcare outcomes, using LLMs and frameworks like LangChain while ensuring responsible, scalable AI practices.
Lead a team to design, build, and optimize scalable data pipelines and platforms using Python, PySpark, SQL, and AWS to support financial services.
Designs and builds enterprise data pipelines, AI/ML solutions, and BI dashboards using SQL Server, Azure, Power BI, and Python to automate processes and drive business insights.
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on…
Design, build, and optimize Snowflake-based data warehouses and pipelines for clients, using SQL, PySpark/Python, and dbt to deliver scalable analytics solutions.
Build and maintain a production-grade MLOps platform for financial risk models using Python, PySpark, and AWS, automating training, testing, and deployment workflows.
Line of Service Advisory Industry/Sector Technology Specialism Advisory - Other Management Level Senior Associate Job Description & Summary The Resource Management Operation Specialist team delivers end-to-end…
Data Scientist builds and maintains audience-measurement models and pipelines for TV/radio ratings, using Python, SQL, and cloud tools to analyze panel data and support production systems.
We couldn't check your fit for this role — add a CV to your profile to see it next time.