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.
The MLOps Lead Engineer will design and automate end-to-end machine learning production lifecycles on the Databricks Lakehouse platform. This role involves leading technical implementations, managing CI/CD/CT pipelines, and providing governance and upskilling for client-side engineering teams.
This is a Spring 2027 Data Science Co-Op role at Johnson & Johnson, where students will analyze surgical data, contribute to R&D product conceptualization, and develop software for data analysis. The position involves working with hardware and data engineering teams to support surgical technology innovation using Python and data science tools.
The Senior Data Engineer will design and manage autonomous, production-grade ETL/ELT pipelines using Python, PySpark, and SQL Server. The role involves implementing lakehouse architectures, deploying containerized solutions via Kubernetes, and ensuring robust data governance and CI/CD practices.
The Databricks Data Engineer will design and implement scalable ETL/ELT pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role requires deep expertise in the Databricks ecosystem, including Spark, Delta Lake, and Unity Catalog, to build robust, secure, and governed data solutions.
The Databricks Data Engineer will design and implement scalable data pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role involves working with the Databricks platform, cloud-native environments, and ETL/ELT workflows to deliver robust, secure data solutions.
The Data Engineer will design, develop, and maintain data pipelines using Databricks, Python, and SQL within a Microsoft Azure environment. This hybrid role involves optimizing ETL/ELT processes and collaborating with stakeholders to enhance the company's reporting and analytics platform.
The Dairy Data Scientist will analyze complex biological and operational dairy data to improve herd performance and farm decision-making. The role involves applying statistical modeling and programming (Python, R, SQL) to support research and develop analytical tools for the dairy industry.
Dairy Data Scientist applying statistics, predictive modeling, and programming (Python, R, SQL, Databricks) to analyze dairy production, herd health, and sensor data and turn it into actionable insights for dairy operations.
Builds and maintains secure, scalable financial systems using Python, PySpark, and cloud-native tools to deliver market-leading tech for JPMorganChase’s Commercial and Investment Bank.
The ETL Software Engineer will design, build, and maintain data integration pipelines using Informatica, MuleSoft, and Python to move data between Salesforce and Snowflake. The role involves troubleshooting pipeline issues, managing database objects, and collaborating with cross-functional teams to ensure data accuracy and reliability.
Build and maintain Allstate’s Microsoft Fabric data platform, designing Bronze-to-Gold pipelines, dimensional models, and Power BI semantic layers to power insurance analytics, Copilot-ready reporting, and regulatory compliance.
Principal Data Engineer designs and owns Blattner’s Microsoft Fabric-based data lakehouse, mentors the team, and builds pipelines from 30+ enterprise systems.
Data Engineer/Scientist building ETL pipelines and infrastructure to support AI/ML and LLM solutions, using Python (Pandas, NumPy), PySpark/Spark or Temporal.io, and version control on-site in King of Prussia, PA.
The Principal Data Engineer will lead enterprise data architecture and strategy at Mercedes-Benz USA, designing scalable data platforms and pipelines using Azure, Databricks, and distributed processing frameworks. This role involves setting technical standards, mentoring teams, and delivering data products to support analytics, machine learning, and AI initiatives.
Software Engineer building data analytics solutions using Python, PySpark, and AWS services for high-performance computing programs. Requires active TS/SCI with polygraph.
Data Engineer at Raiffeisen Bank Ukraine owning the Data Lake platform — designing and operating end-to-end data pipelines (ingestion, transformation, publication) using Python, Spark, AWS, Airflow, Kafka, and Terraform, with mandatory hands-on use of AI coding agents.
About Us Mercedes-Benz USA is responsible for the marketing, sales, and service of Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values.…
Consultant Machine Learning & Knowledge Graph Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic…
Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making? VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings…
Where Ambition Meets Innovation Build a career that matches your initiative with an environment centered on innovation, collaboration, and impact. At LPL Financial, you’ll work with modern technology, supportive…
We couldn't check your fit for this role — add a CV to your profile to see it next time.