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.
Lead AI-powered data engineering for a biopharma company, building scalable cloud platforms and LLM-driven workflows to accelerate drug discovery and clinical research.
Hi Role :AEM Lead Developer / Solution Architect Location: Pleasanton, CA (Hybrid) Only local profiles are needed. Role details- Seeking an experienced AEM professional to design and implement enterprise content…
Responsibilities Lead the development of cloud-based data platforms, pipelines, and data products leveraging Python, SQL, Snowflake, and AWS. Build scalable solutions for a variety of data sources, including market,…
The Data Analyst & Integrator will support the City of Toronto's Parks & Recreation division by ingesting, cleaning, and analyzing large datasets to provide actionable insights. The role involves building dashboards, automating data pipelines, and using statistical tools like Python, SQL, and R to inform strategic decision-making.
Data Architect role focused on enterprise data management, data modelling, APIs, microservices, data governance, and defining data standards for a consulting engagement in York.
Overview Microsoft Digital (MSD) builds and manages the critical products and services that Microsoft runs on. We boldly pursue big ideas that power transformational advances at Microsoft and for our customers, while…
The Data Governance Manager will define and implement data governance frameworks, standards, and processes while collaborating with IT and business units to improve data quality and metadata management. This role involves translating regulatory requirements into actionable governance concepts and supporting data stewards within the organization.
Imagine being part of a team that is actively driving the future. At Davies, we combine technology, analytics, AI, and professional services to help clients solve complex business challenges across insurance and…
Who We Are Atlan is building the context layer for enterprise AI. Enterprises are pouring money into AI and most of it dies in production because the AI does not understand the business context around the data. That is…
Responsibilities and Requirements Manage and Optimise existing data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon…
Build and optimize OKX’s big-data platform for on-chain analytics, fraud detection, and AI-driven trading tools using Spark, Flink, Kafka, and vector databases.
*To access Dayforce at its best, log in from the latest version of Chrome, Safari, Firefox, or Edge. * Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids…
Supports data governance by managing catalogs, metadata, and quality monitoring while collaborating with stakeholders to improve enterprise data trust and usability.
The C-BRAIN Data Engineer role at Washington University in St. Louis involves managing and processing data for research initiatives. This is a remote position based in the United States.
Join one of the world's most innovative financial institutions and help shape the future of data-driven decision-making at scale. At JPMorganChase, we believe that great data is the foundation of great outcomes —…
Lead AI and data engineering programs for financial clients, designing scalable GenAI and ML solutions on cloud platforms while managing delivery, governance, and cross-functional teams.
The Senior Data Analyst will define and maintain enterprise data models and semantic layers to support self-service analytics and AI/GenAI initiatives. The role involves collaborating with stakeholders to translate business requirements into scalable data structures using technologies like Snowflake.
This Vice President-level role involves leading data engineering initiatives to design and manage data infrastructure for AI platforms using Snowflake, Python, and SQL. The lead engineer will develop data pipelines, ensure data quality, and collaborate with cross-functional teams to deliver scalable data solutions.
The Data Engineer 2 will design, build, and maintain scalable data pipelines and enterprise data products to support analytics, reporting, and GenAI initiatives. The role involves working with cloud-based platforms, ETL/ELT processes, and data governance frameworks to ensure high-quality, accessible data across the organization.
The Senior Data Engineer will design and maintain master data management processes and build scalable data pipelines using Azure Data Factory, Python, and SQL. The role focuses on data profiling, integration, and ensuring high data quality across various structured and unstructured sources.
We couldn't check your fit for this role — add a CV to your profile to see it next time.