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 a team building and optimizing AWS-based data pipelines and warehouses using Glue, Redshift, S3, Lambda, Spark, and Python/SQL.
Designs and builds scalable data pipelines and architectures using SQL, Python, Hadoop, and Spark, while mentoring junior engineers and ensuring data governance.
Lead architecture and engineering standards for enterprise platforms, guiding multiple squads on solution design, cloud practices, and CI/CD while mentoring engineers.
Lead IG’s data governance framework, defining standards, ownership, and quality rules to ensure trusted, fit-for-purpose data across the fintech’s global operations.
Lead a Barcelona-based data engineering team building a next-gen clinical data platform on Databricks/dbt/GCP, while aligning with Austin and driving AI-first engineering practices in a regulated healthcare setting.
Facilitate Agile ceremonies and coach a new data engineering team while leading cross-border Agile transformation and SDLC improvements.
Lead a Barcelona-based data engineering team to build and maintain an AI-first data platform for clinical data, recruiting and mentoring engineers while aligning with the Austin team across time zones.
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.
Leads enterprise-scale data engineering projects in Brisbane, designing pipelines for processing, integrating, and securing large datasets while aligning with governance and stakeholder needs.
Leads data engineering and analytics at a government agency focused on renewable energy, building trusted data products and improving reporting across the organization.
Designs, builds, and optimizes scalable Azure data platforms, leading architecture, pipelines, and DevOps for enterprise-scale data programs.
Lead the design, build, and optimization of a scalable Azure-based data platform, mentoring engineers and delivering Python APIs while enforcing governance and security standards.
Oversees data pipelines and architectures to transform healthcare data into actionable insights, using cloud-native platforms and best practices for enterprise-scale processing.
Senior Data Engineer leading a migration from Teradata to an AWS Lakehouse with Databricks, building scalable pipelines and modernizing legacy code using dbt and Airflow.
Leads data engineering efforts for Indiana University’s Kelley School of Business, designing and maintaining data pipelines, infrastructure, and analytics systems to support business education programs and student data management.
Lead the modernization of GIC’s global data infrastructure, migrating legacy systems to cloud-native, AI-powered platforms while overseeing databases, middleware, and web services for a sovereign wealth fund.
Lead the build of data pipelines and AI integrations for a fintech platform, using dbt, BigQuery, Airflow, and LLM APIs to ensure reliable, secure analytics and agent workflows.
Lead Data Engineer responsible for designing, building, and maintaining scalable healthcare data pipelines in AWS, handling PHI/PII securely, and integrating AI/ML for mapping and data quality while owning the full pipeline lifecycle from development to production.
Lead a data governance program to establish enterprise standards for trusted data, security, and analytics, enabling safe self-service solutions for business users.
Leads the design, build, and operation of scalable data platforms and infrastructure for critical business outcomes, mentoring teams and blending engineering with AI-assisted practices.
We couldn't check your fit for this role — add a CV to your profile to see it next time.