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 data pipelines for a bank’s data warehouse and AI knowledge base, using Python, Spark, and cloud tools to support risk, fraud, and automation use cases.
Senior QA analyst who verifies, analyzes and visualizes game telemetry to turn complex datasets into clear insights for QA, dev and production teams using SQL, Redshift/Databricks and Looker.
Build and maintain scalable AWS data pipelines and lakehouse architectures for pharma analytics and AI/ML workloads, integrating commercial data sources like Veeva and Xponent.
Designs AWS AI/ML and cloud modernization architectures for enterprise clients, leads pre-sales discovery, and scopes migrations/GenAI pipelines (Bedrock/SageMaker) while collaborating with AE and AWS teams.
Builds and maintains scalable data pipelines for migrating/transforming financial data across systems, standardizing schemas, and enabling enterprise visibility into billions of dollars in payments. Core tech: Python/Scala/Java/C#, Databricks/Spark, cloud warehouses, ETL/ELT, and data quality tools.
Role Summary The AVP Database & Cloud Platform hands-on Support Manager/Lead will be responsible for providing L2/L3 operational support, reliability engineering, and technical leadership for enterprise database…
Leads data engineering for a global healthcare company, designing scalable Oracle/PostgreSQL pipelines, optimizing performance, and mentoring teams to support mission-critical healthcare operations and analytics.
Designs, builds, and deploys scalable ML models and pipelines for Disney’s media/commerce platforms, focusing on production-grade systems, MLOps, and cross-team collaboration.
Lead the design of enterprise data architecture and modeling standards for Disney’s guest-facing digital platforms, using cloud warehouses and transformation tools.
Designs and modernizes data pipelines, migrating SQL Server to Hadoop/Databricks while enabling AI-driven insights and real-time analytics for Visa’s global payments infrastructure.
A 10-week internship developing data-driven models and analytics for Fannie Mae’s credit risk management, using Python/R/SQL to research loan data, detect anomalies, and prototype risk indicators.
Designs and deploys advanced AI/ML models (4-7 years exp) using Agentic AI frameworks like LangChain, AWS Bedrock, and LLMs for business problem-solving, with a focus on RAG pipelines, prompt engineering, and secure AI agent workflows on AWS.
Analytics Engineer building trusted data transformation layers (SQL, dbt) in a modern data warehouse to power BI, AI, and reporting across a real estate portfolio company. Fully on-site in Chicago 5 days a week.
Builds and maintains scalable ETL pipelines for ingesting, transforming, and loading structured/unstructured data while collaborating with cross-functional teams to optimize workflows and ensure data accuracy in a government-adjacent environment.
Entry-level (0-1 year) Data Engineer supporting ETL pipeline development, data migration, and data quality validation using SQL, Python, and cloud platforms (AWS/Azure/GCP). Requires TS clearance and is based on-site in the Washington DC area.
The Cloud Engineer will manage and optimize cloud-based data storage and processing solutions using AWS, Databricks, and Informatica IDMC. The role involves designing ETL/ELT pipelines and ensuring data quality and integration across various sources.
The Principal Data Engineer leads enterprise data governance, master data management (MDM), and scalable data platform architecture initiatives. The role involves utilizing AI/ML, cloud-native technologies, and distributed computing to support business-aligned data modeling and analytics.
Senior QA Data Analyst at WB Games Montréal verifying, analyzing, and visualizing AAA game telemetry data—building Looker dashboards, writing SQL queries, and translating complex datasets into actionable insights for QA and dev teams.
Senior Data Engineer building and scaling Databricks on AWS data ingestion pipelines for a healthcare client, using Python, Spark, and Delta Lake with medallion architecture.
Lead Analytics Engineer responsible for driving monetization metrics and data pipelines, partnering with data scientists and engineering teams, using SQL, Airflow, Tableau, and other data engineering tools to build and maintain analytics solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.