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 maintain scalable back-end services for a fintech platform using Java, Spring Boot, Kafka, and databases like Postgres and Cassandra.
Builds scalable data infrastructure and models in SQL, Python, Snowflake, dbt, Airflow and Fivetran to power automated marketing insights and communications.
Design and build Snowflake-based data pipelines and risk analytics datasets using SQL, Snowpark, Python/Scala, and Airflow.
Build and maintain the internal data platform that ingests, transforms, and delivers marketing data for 200k+ organizations using Python, Kubernetes, Airflow, and AI-assisted tooling.
Builds and maintains Supermetrics’ internal AI-powered data platform, owning pipelines and Kubernetes/GCP infrastructure that ingest, transform, and deliver data across teams.
Build and maintain data pipelines for Finland’s top online store using Python, Dagster, and dbt to move and transform retail data into clean, analytics-ready models.
Build and maintain data pipelines for product information systems, integrating and governing data for e-commerce platforms using cloud tools like Azure and AWS.
Build and deploy AI features in a regulated bank’s Snowflake environment, integrating LLMs and Cortex for data insights, engineering tooling, and Streamlit self-service apps.
Senior Data Engineer builds and maintains cloud data pipelines on AWS Redshift and GCP BigQuery using dbt, Airflow/Dagster, and Python/SQL to power Alma’s B2B data products.
Senior Data Engineer builds and owns end-to-end data pipelines and models for a bank’s Recovery & Loss product, ensuring regulatory compliance and data-driven insights for debt management and risk models using SQL, Python, Snowflake, dbt, and Airflow.
Build and own data pipelines that unify Oura’s membership data into a reliable single source of truth, integrating subscription billing, CRM, and app engagement systems.
Build and maintain CI/CD pipelines and cloud-based data workflows for inertial positioning algorithms, converting MATLAB code to C and automating validation and deployment for robotics and autonomous systems.
Design and build cloud-based data pipelines and platforms for clients, using Snowflake/Databricks/BigQuery and orchestration tools like Airflow/dbt to enable AI and analytics.
Designs and maintains data pipelines, models, and integrations to power analytics and reporting, using Python, SQL, and ETL tools in a hybrid environment.
Build and maintain Snowflake transformation layers that turn raw banking data into clean, governed datasets for risk modeling and reporting, using SQL, Snowpark, and Airflow.
Senior DevOps Engineer builds and maintains CI/CD pipelines, cloud infrastructure, and Kubernetes clusters for a talent-tech company, ensuring reliable and secure deployments.
Lead a team of data scientists to build and deploy ML models that power route-planning software for logistics drivers, cutting waste and improving delivery efficiency.
Build and operate open-source data platforms using Python, Spark, and Kubernetes, focusing on pipelines, orchestration, and data quality for AI-driven analytics.
Build and operate open-source data platforms: pipelines, processing, orchestration, and deployment using Python, Spark, Kubernetes, and observability tools.
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and scalability using Python, Spark, Kafka, Kubernetes, and related tools.
We couldn't check your fit for this role — add a CV to your profile to see it next time.