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.
Stellantis is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes. The role involves using Python, Spark, and cloud technologies to ensure data reliability and support data-driven decision-making across the organization.
As a Data Engineer at Davidson, you will design, develop, and maintain scalable ETL/ELT data pipelines and data warehouses on Google Cloud Platform. You will work with technologies like BigQuery, Python, SQL, and Airflow to support data-driven projects for various clients.
The Senior Data Engineer will design and maintain massive data pipelines and distributed architectures with a focus on real-time processing. The role involves collaborating with cross-functional teams to ensure system reliability, observability, and scalability using tools like Airflow, Kafka, and Python.
Junior Python Engineer building and maintaining research infrastructure, ETL pipelines, and analytical tools for a hedge fund's trading teams using Python, Git, Airflow, Jenkins, and Podman.
Senior Data Engineer on Lyft's Mapping team, building scalable data pipelines, offline experimentation tooling, and route simulation services using AWS, Databricks, Kubernetes, Airflow, and Spark.
Senior Data Engineer/Manager leading a large-scale cloud data modernization on GCP (BigQuery, dbt, Airflow/Composer), Looker, and Power BI, with heavy emphasis on stakeholder influence, Agile delivery, and data quality in an enterprise setting.
Python Developer (contract, 1 year) building scalable microservices, APIs, and data engineering solutions using FastAPI, Docker, Kubernetes, Azure Databricks, and Kafka for a large banking client's platform modernization in Toronto.
The Senior Data Engineer will design and deliver scalable data solutions while mentoring team members and maintaining robust, compliant data architectures. The role requires expertise in the Hadoop/Spark stack, Airflow orchestration, and secure SDLC practices within an Agile environment.
Westpac New Zealand is hiring a Senior Data Engineer to lead data delivery, mentor team members, and build scalable pipelines. The role focuses on banking products using the Hadoop stack, Airflow, and infrastructure-as-code tools.
Ironhack is seeking a remote freelance Lead Instructor to teach a Data Engineering bootcamp, overseeing curriculum delivery and coordinating teaching assistants. The role involves guiding students through production-level data pipeline projects during evening and weekend hours.
The Senior Data Platform Engineer & Cloud Architect will design and operate enterprise-scale AWS data platforms, focusing on automation, CI/CD, and cloud infrastructure. This role involves leading technical initiatives, mentoring teams, and bridging architectural strategy with hands-on engineering using tools like Terraform, Airflow, and Python.
Builds the data flywheel platform and foundation-model infrastructure at Wayve, focusing on data curation pipelines, model evaluation/training systems, and distributed data processing using Python, Ray, Spark, and lakehouse technologies.
Lead a Data Platform engineering team at Cohere Health, driving execution of complex data initiatives, operational excellence, and evolution of the data platform using AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, and Athena.
Data Platform Engineer supporting automated data pipelines, large-scale testing data validation for risk/reporting, and BI platform assistance — using Python, SQL, and Tableau in a public-sector data transformation programme.
The Data Engineer will develop and maintain scalable data pipelines and data warehouse solutions to support business analytics and data quality. The role involves working with technologies like Python, SQL, Kafka, Spark, and various cloud-based data warehouse platforms.
The Data Engineer will design and maintain OCR-based ingestion and ETL pipelines to support an AI-driven candidate matching platform. The role involves working with vector embeddings, LLMs, and AWS cloud infrastructure to process and analyze CV and job description data.
Data Engineer responsible for designing, maintaining, and improving data lakes, pipelines, batch and real-time processing systems, and metadata infrastructure using Python, AWS services, and big data technologies.
Data/DevOps engineer supporting automated data pipelines and risk reporting using Python, SQL, and Tableau in Hong Kong.
Senior Python Developer building and improving software for QIS equity derivatives trading and structuring teams at Barclays, using Python, Docker, and Kubernetes with a strong SRE mindset.
The Data Architect Engineer will design and manage data structures and ingestion pipelines for a graph-RAG platform, focusing on schema definition, taxonomy, and data quality. The role involves working with Python, SQL, and enterprise content systems to ensure accurate knowledge representation for LLM retrieval.
We couldn't check your fit for this role — add a CV to your profile to see it next time.