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 Data Engineer/ML Engineer will design and operate end-to-end data and machine learning pipelines within the AI Labs team at Insud Pharma. The role involves collaborating with cross-functional teams to build scalable, robust ML solutions while adhering to regulatory standards and DevOps best practices.
The ML Data Engineer will design and maintain data and ML pipelines within the AI Labs team, collaborating with data scientists to deploy models into production. The role focuses on MLOps, software quality, and cloud infrastructure.
The Senior Data Engineer will work on digital transformation projects using Azure, focusing on building scalable data pipelines. Key technologies include Apache Spark, Databricks, MongoDB, and Delta Lake within a DevOps and Agile environment.
The Data Engineer will design and optimize data pipelines using Snowflake and Azure, manage Airflow DAGs, and automate processes with Python. The role involves working in an Agile environment to ensure data quality, governance, and scalability.
The Senior Data Engineer will design, build, and optimize complex data architectures and pipelines for Arcoprime. The role focuses on ensuring data security and availability using technologies like Python, Spark, Airflow, and AWS services.
The Data Engineer will design and build scalable data pipelines and cloud-based data solutions on AWS to support advanced analytics and business use cases. The role involves modeling data, integrating various sources, and collaborating with cross-functional teams to ensure data quality and performance.
The Senior Data Engineer will design, build, and optimize complex distributed data architectures and pipelines using AWS, Python, and SQL. The role involves automating infrastructure via IaC, ensuring data quality and security, and providing technical mentorship.
Globant is seeking a Senior Data Engineer to design and optimize data pipelines using Databricks and PySpark. The role involves collaborating with data science teams to deliver scalable data products and support AI-enabled analytics.
Senior Data Engineer at Globant building digital products and driving digital transformation for enterprise clients, primarily using Databricks and PySpark.
The Staff Data Engineer will design, build, and optimize robust data infrastructure and pipelines to support MACH's data operations. The role involves implementing data governance, enabling AI initiatives, and ensuring platform observability using AWS and modern data engineering practices.
The Big Data Engineer will design and implement data processing solutions on AWS to manage large volumes of information. The role involves collaborating on IT operational continuity and delivering high-quality data analytics solutions.
This Senior Data Engineer role involves designing data models and overseeing high-impact data solutions within the financial sector. The position requires expertise in cloud technologies and working within regulated environments.
The Senior Data Platform Engineer will design and evolve data pipelines, focusing on governance, observability, and AI integration within the Data Operations & Platform team. This is a hybrid role requiring at least 5 years of experience in data engineering and critical infrastructure.
Senior Data Engineer designing and optimizing large-scale batch and real-time data pipelines in the cloud using PySpark, Kafka, and AWS services within an agile data cell.
The Senior Data Engineer will architect and scale a modern data platform by designing ETL/ELT pipelines and implementing DataOps practices. The role involves orchestrating data flows using tools like Airflow, Prefect, or Dagster and optimizing Snowflake schemas.
The Senior Data Engineer will design, build, and maintain scalable ETL pipelines to integrate data across enterprise systems using Python, Snowflake, and Azure Synapse Analytics.
Matchtech is seeking a Senior Data Engineer to design strategic data solutions and collaborate with global teams across Europe and LATAM. The role focuses on data modeling, advanced SQL, and Snowflake, with opportunities for professional growth into data architecture.
As a Senior Data Engineer at Planet, you will design and build enterprise-scale data ecosystems and lead end-to-end data architectures for satellite imaging products. This is a hybrid role requiring three days per week in either Washington DC or Denver.
Blueflowtech is seeking an AI & Data Engineer to develop and deploy AI models, focusing on computer vision, audio analysis, and scalable data platforms. The role involves end-to-end production engineering, including backend development and optimizing performance for real-world infrastructure.
The Senior Data Engineer will architect and build enterprise-scale data ecosystems using cloud technologies like GCP, Python, SQL, and dbt to support satellite imaging products. This hybrid role requires technical leadership and experience with geospatial datasets to deliver solutions for defense and intelligence customers.
We couldn't check your fit for this role — add a CV to your profile to see it next time.