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.
Build and optimize large-scale data pipelines and frameworks for Amgen’s R&D systems using PySpark, Databricks, AWS, and SQL to enable self-service analytics and AI-driven insights.
Lead Salesforce DevOps for a large medical-tech company, owning CI/CD pipelines, Copado administration, and multi-org release processes to deliver reliable, secure Salesforce solutions.
Lead a team to curate, annotate, and validate AI/ML datasets for defense research, ensuring data quality and model readiness in a secure environment.
Build and maintain scalable data pipelines on GCP, migrating data from Teradata to BigQuery and ensuring data quality for AI-driven enterprise solutions.
Designs and leads scalable ETL pipelines and Databricks-based data platforms for NASA, ensuring secure, reproducible, and maintainable data workflows with CI/CD and cloud-native tools.
Owns the roadmap and delivery of data products that power financial decision-making, collaborating with engineering and analytics teams to build scalable, governed datasets and metrics in a regulated fintech environment.
Own and evolve the Knowledge & Semantic Platform that powers AI-driven healthcare products, defining ontology, knowledge graphs, and semantic models to ensure consistent intelligence delivery.
Sell Salesforce’s Informatica Cloud Data Governance solutions to enterprise clients, translating technical governance needs into business value for C-suite stakeholders.
Lead data analytics initiatives for McKesson’s medical-surgical and injectables business, building scalable cloud data warehouses and dashboards to drive data-driven decisions in healthcare.
As Data Management Manager at Solstice, you will lead the company’s data management practice, including governance, quality, mastering, cataloging, and controlled distribution of enterprise data. You will own data…
Principal engineer leading the architecture and modernization of Microsoft’s cloud storage and distributed database systems to support AI-native workloads, using systems programming and AI-driven design.
Lead Python & AWS engineer building and scaling secure, cloud-native data platforms for a major bank using AWS Glue, EMR, Lambda, and Kubernetes.
Senior Data Engineering Location: Pune, India Time Type: Full time Job Description Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers,…
Manager Digital Product Location: Work At Home-New York, Work At Home-Idaho, Work At Home-Arkansas, Work At Home-Vermont, Work At Home-Georgia, Work At Home-Texas, Work At Home-Minnesota, Work At Home-New Mexico, Work…
Data Analyst (Operations & Policy Analyst 3) Location: Salem | DCBS | Labor & Industries Building Remote Type: Hybrid Work Optional Time Type: Full time Job Description Initial Posting Date:
Senior Data Governance Analyst Team: Analyst Location: US Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is…
Senior Consultant, Data Governance Team: Analyst Location: US Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our…
Data Infrastructure Architect Team: IT Location: US Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is…
Data & AI Architect Team: IT Location: India Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking…
AI Data Architect Team: IT Location: US Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI…
We couldn't check your fit for this role — add a CV to your profile to see it next time.