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.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine…
AWS Backend Lead Location: Remote / Hybrid Experience Level: Lead (10+ years) Summary Backend Lead responsible for designing and building cloud-native, event-driven data and analytics services on AWS, with a focus on…
PRINCIPAL PLATFORM SOFTWARE ENGINEER (IC4) OCI Log Analytics - Query Language and Distributed Execution Location: Nashville, Tennessee Work Arrangement: On-site Monday through Friday On-Call Requirement: Participation…
This Data Engineer role involves designing data pipelines, modeling data warehouses, and migrating decision-making platforms to the cloud using Spark, SQL, and Databricks. The position requires strong technical expertise in data transformation and quality, alongside the ability to collaborate directly with business stakeholders.
Data Engineer on a 12-month contract migrating a decisional platform to the cloud, designing data warehouses, building Spark pipelines, and ensuring data quality using Spark, SQL, and Databricks.
Data Engineer role developing and optimizing data pipelines using Azure, Databricks, PySpark, and Azure Data Factory within a Data Warehouse Cloud environment, with responsibilities spanning both data engineering and DevOps/infrastructure tasks.
LabSoft is seeking an experienced Data Engineer to design, industrialize, and optimize cloud-based data pipelines on Azure using Databricks and PySpark. The role involves managing data workflows, implementing CI/CD practices, and collaborating with business teams to improve performance and cost efficiency.
The Senior Data Engineer will design and build robust data pipelines and models using AWS, Snowflake, Python, and Spark to support analytical insights for Sun Life's business units. This role bridges the gap between business stakeholders and technical data teams to ensure high-quality, compliant data products.
Senior Data Engineer building and optimizing batch and streaming data pipelines on GCP (BigQuery, Dataflow, Cloud Composer) using SQL and Python/Java, onsite in Manila with a shifting schedule.
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.
Build ML models and pipelines for enterprise scenario planning, integrating time-series forecasting and demand sensing into Anaplan’s AI-infused platform.
Design and build data integration pipelines into EPM/CPM solutions using Microsoft Fabric and Azure Data Stack, ingesting data from SAP, Workday, and other source systems, implementing Lakehouse architectures, and validating data quality in a fully remote role.
Design and build streaming and batch data pipelines on AWS (Kafka, Spark/Flink, S3 lakehouse) for Pirelli's manufacturing Data Platform, transitioning legacy systems to a data-driven architecture while supporting global production plants.
Senior Rust engineer designing interoperability layers with open table formats, extending DataFusion and Parquet, and defining APIs for SDKs and data pipelines in an open-source data platform for robotics and sensor data.
The Full Stack Software Engineer will transform a Streamlit-based prototype into a production-ready interface using Python, Java, and various frontend technologies. The role requires a Top Secret clearance and polygraph to work on data-intensive applications.
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.
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 building metadata catalogues, lineage integration, and AI-ready data foundations for a global investment management firm using Python, SQL, Kafka, Elasticsearch/OpenSearch, and LLMs.
Data Engineer at Indra Group designing, developing, and maintaining ETL/ELT pipelines for a European cyberdefense project, working with SQL, Python, orchestration tools like Airflow/NiFi/Prefect, and relational/NoSQL databases.
We couldn't check your fit for this role — add a CV to your profile to see it next time.