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 will modernize and scale cloud data platforms by building ETL/ELT pipelines using Databricks, Informatica (IDMC), and AWS. The role involves migrating legacy workflows to PySpark and SQL while managing data governance and infrastructure performance.
AESYS is seeking a Data Engineer to design and implement data pipelines on Azure using Databricks, PySpark, and ADF. The role involves working with Delta Lake architectures and managing data integration from various sources in a hybrid or remote environment.
Data Engineer at an IT consultancy building modern data platforms, ETL/ELT pipelines, and data warehouses on cloud (AWS/Azure/GCP) using SQL and Python for various client projects.
Design and implement Azure data pipelines using Databricks, PySpark, and ADF, collaborating with data platform teams on Delta Lake architectures with focus on security, governance, and performance.
Design and govern HR data models and lead migration of the HR Warehouse to an enterprise Lakehouse (Azure Databricks, Delta Lake), partnering with data engineering and HR stakeholders to establish trusted, well-structured HR data for reporting and analytics.
Design and implement data fabric architecture across heterogeneous data sources and platforms Develop scalable ETL/ELT pipelines for batch and real-time data integration Integrate structured and unstructured data from…
Senior Data Scientist at Grupo Modelo (AB-InBev) in Mexico City, building end-to-end analytical products and production ML models (classification, clustering, forecasting, recommendation systems) using Python, SQL, and ML frameworks.
Senior DataOps/Cloud Data Engineer based on-site in Toronto, designing and optimizing Azure Data Factory and Databricks pipelines, migrating Informatica ETL to Azure ELT using Medallion Architecture, and connecting on-premises data sources for a government Community Services Cluster project.
On-site Cloud Data Engineer in Toronto designing and optimizing ETL pipelines using Informatica, Azure Data Factory, and Databricks, with Python/SQL programming and Medallion Architecture implementation.
Senior DataOps/Cloud Data Engineer building and automating ETL data pipelines using Informatica, Azure Data Factory, and Databricks with Medallion Architecture for a government ministry.
Data Lead role designing, orchestrating, and evolving enterprise-scale data platforms and analytical ecosystems on Databricks and AWS, including CI/CD pipelines, data governance, and observability.
Design and build AWS-based data architectures—S3 data lakes, Glue ETL pipelines, Redshift/Snowflake/Databricks warehouses, and RAG-powered AI systems—across diverse client engagements, with mentoring and architecture presentation responsibilities.
Senior Data Engineer designing and optimizing data ingestion, transformation, and orchestration pipelines using Apache Spark, Databricks, MongoDB, Delta Lake, Airflow, and Azure Data Factory on cloud environments.
Senior Data Engineer designing and evolving Data Products, data pipelines, and domain-oriented data models on Azure/Databricks to power AI-enabled business software.
Data Engineer working on large-scale projects using Databricks, PySpark, Spark, and Cloud technologies to build and evolve data platforms, process large volumes of information, and develop data pipelines and Data Lake/Lakehouse architectures.
Senior Data Engineer / Databricks Technical Architect designing and developing batch and streaming data pipelines on Databricks and Azure, building Lakehouse architectures with Delta Lake and the Medallion pattern.
The Data Engineer/Technical Architect will design and develop batch and streaming data pipelines using Databricks and Azure. The role focuses on building Lakehouse architectures, optimizing distributed workloads, and implementing data governance standards.
AXPE Consulting is hiring Data Engineers to build and maintain large-scale data platforms, ETL pipelines, and Lakehouse architectures using Databricks, PySpark, and cloud technologies. This is a remote role focused on delivering data solutions for large organizations and financial entities.
Senior Data Engineer designing and operating a Databricks/Delta Lake platform with Medallion architecture to feed dynamic pricing and BI in high-volume retail, using PySpark, SQL, and Azure Data Factory.
Senior Data Engineer on a 3–4 month contract designing and maintaining ETL/ELT pipelines on Microsoft Fabric Lakehouse, implementing medallion architecture (bronze/silver/gold layers) with SQL, Python, and Spark.
We couldn't check your fit for this role — add a CV to your profile to see it next time.