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 modernize large-scale government systems in Python on AWS, improving public-facing services with secure, scalable cloud infrastructure.
Staff engineer building Tempo, Grafana’s open-source distributed tracing backend, optimizing ingestion, query performance, and scalability for observability at scale.
Build and maintain data pipelines for Disney’s marketing analytics, using AWS, Databricks, Snowflake, and Airflow to ingest and transform vendor data into analytics-ready datasets.
Build and maintain a modern data platform for portfolio managers and quants, including ingestion, ETL, and APIs using Python, SQL, and distributed systems.
Build and own scalable ETL pipelines and data warehouses for a hospitality workforce-management SaaS, using AWS Glue, Airflow, Spark, and modern lakehouse formats.
Build and optimize TypeScript-based ETL pipelines for a European MedTech company, processing large volumes of cardiac monitoring data in AWS with PostgreSQL, Kafka, and Kubernetes.
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, SQL, and AWS, integrating data from APIs and databases into Delta Lake tables.
Build and maintain robust data pipelines on AWS to process terabytes of media audience, adserver, and CRM data, enabling predictive products and ad-revenue insights.
Senior Manager, Data Engineering at Farther builds and scales the data platform for a modern wealth-management firm, owning custodial pipelines, security master, and AI-ready data products in PostgreSQL, AWS, and Python.
Build and automate data pipelines, migrate legacy systems to modern platforms, and ensure data accuracy for a fintech lender using SQL, Python, and cloud tools.
Build and maintain ETL/ELT pipelines in Azure Data Factory and Databricks, ingesting and transforming data into clean, analytics-ready datasets using PySpark, SQL, and cloud storage.
Builds scalable Python data pipelines on AWS to automate manual Excel processes, integrating relational databases and S3 with Power BI for analytics.
Build and maintain scalable data pipelines and APIs for a cybersecurity ratings platform using Scala, Spark, and AWS.
Lead a team to design and maintain large-scale ETL pipelines and OLAP data architecture on AWS, using S3 data lakes, Athena, Airflow, and Python, while enforcing code quality and guiding senior developers.
Build and maintain ELT pipelines for automotive SaaS using dbt, Python, and AWS Redshift, ensuring data reliability and GDPR compliance.
Build and maintain scalable, reliable data infrastructure using ClickHouse, CockroachDB, Trino, and Kubernetes, plus AWS services and Terraform.
Design and maintain scalable data pipelines using Python, PySpark, and Spark Streaming to process batch and real-time data for high-quality datasets.
Build and maintain robust data pipelines on AWS to centralize and process terabytes of media audience, adserver, CRM, and radio data, using Python, PySpark, and SQL to deliver actionable insights and KPIs for advertising, streaming, and CRM teams.
Build and maintain cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
Build and maintain the data stack for AI teams that detect objects in satellite imagery using Python, Airflow, PostgreSQL, and AWS, while also contributing to model training pipelines.
We couldn't check your fit for this role — add a CV to your profile to see it next time.