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.
Senior Data Engineer on a 12+12-month contract for a Federal Government client, responsible for hands-on development, data modelling, ETL processes, and technical leadership across enterprise data warehouses using AWS, SQL, and Python.
The Data Engineer will build and maintain data pipelines and warehouse architectures using Python, SQL, and Apache Airflow. The role requires experience with AWS services and a focus on production-ready code deployment.
Senior Data Engineer developing scalable data warehouse architecture and performant data models for Prime Video's analytical ecosystem, working with large datasets on AWS cloud technologies like Spectrum and Redshift for ETL processing.
Leads data engineering efforts for Amazon Pay, building high-performance data pipelines and supporting ad-hoc data access using SQL, Redshift, Python, and Spark.
The CDP Data Engineer manages data ingestion, identity resolution, and schema mapping within Adobe Real-Time CDP and Adobe Experience Platform. This role involves building data pipelines, ensuring data quality for marketing activation, and collaborating with architects to maintain scalable, governed data models.
Designs and delivers mission-critical data services for National Security clients, building robust data pipelines using Python, Apache Spark, NiFi, and cloud technologies to process diverse data sources at scale.
Builds and maintains cloud data warehouses and pipelines using SQL, dbt, and Snowflake/BigQuery to deliver clean, reliable datasets for business analytics and reporting.
Build and deploy AI/ML and NLP models, including LLMs, to automate healthcare workflows while ensuring clinical accuracy, regulatory compliance, and production reliability.
NATURE OF POSITION: AI Fire is seeking a skilled and driven Data Engineer to design, develop, and maintain scalable data warehouse solutions and migration of data from a variety of small business ERP platforms into our…
Data Engineer in the sports betting industry working with a quant team to build Python-based data workflows, ensure data quality, and support quantitative analysis using tools like PostgreSQL and SQL.
En Keepler (part of Accenture) queremos hacer crecer nuestro equipo con personas que tengan ganas de desarrollar software basado en datos con dos objetivos: ayudar en la transformación a nuestros clientes y disfrutar…
Senior Data Analyst/Analytics Engineer owning commercial analytics dashboards and data models using SQL, dbt, Tableau/Looker/QuickSight, and Python on an AWS data lake stack at a global payments company.
The Principal Software Engineer will lead integration and data architecture for a healthcare supply chain platform, focusing on event-driven systems, API standards, and data modeling. This hands-on role involves guiding engineering teams through service decomposition and modernizing messaging infrastructure using AWS and AI-assisted development workflows.
Builds and maintains scalable data pipelines for audio datasets to support AI/ML research in immersive sound processing, including speech, style transfer, and source separation for global media production.
Staff Engineer builds and scales Serko’s global travel-tech data platform, owning architecture, pipelines, and governance while mentoring teams on Java, distributed systems, and cloud-native data stacks.
Designs and maintains scalable data pipelines and infrastructure for Prime Video Advertising to drive data-driven insights, using AWS tools and internal Amazon systems. Focuses on data governance, automation, and collaboration with cross-functional teams to optimize advertising analytics and decision-making.
Builds and maintains scalable data pipelines for Prime Video Advertising, using AWS tools and Python/Spark to ingest, transform, and analyze streaming/batch data for ad-driven insights.
Build and maintain scalable AWS data pipelines and analytics platforms using SQL, Python, and Spark to enable business insights and reporting.
Leads backend architecture for a cybersecurity detection/response engine, processing billions of events/sec in real-time with AI to reduce false positives and stop critical threats.
Builds secure, automated pipelines for threat detection and response using Python and DevOps tools to protect Verizon’s global network and infrastructure.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
