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Principal Software Engineer at Recorded Future builds and scales threat intelligence pipelines that collect, transform, and deliver structured security data using Python, Go/Rust, Kafka, and cloud infrastructure.
Principal Data Engineer at Recorded Future designs and maintains large-scale data pipelines and systems to ingest, process, and analyze cybersecurity threat intelligence data using Python, Kafka, and graph databases.
Job Summary The Value Data Engineer sits within Logile's Customer Experience (CX) organization and provides the data engineering and analytics backbone behind every value conversation Logile has with a prospect or…
Senior Data Engineer builds and maintains scalable data pipelines and models for Crexi’s AI-powered commercial real estate platform, ensuring reliable, high-performance data systems.
Designs and maintains data pipelines for a B2B commerce platform, using Python, PySpark, SQL, and cloud services like Azure to process and integrate large datasets.
The Data Pipeline & Analytics Engineer will design, build, and optimize scalable ETL/ELT pipelines and analytics-ready data models. The role involves using tools like Airflow, dbt, and Spark to ensure data quality and enable data-driven decision-making through dashboards.
The Senior Data Engineer will develop and maintain data pipelines for the SimpliFi Data Pool using Azure cloud services, ETL/ELT patterns, and data governance practices.
Softtek is seeking a Senior Big Data Engineer to work on-site in Coyoacán, Mexico, focusing on large-scale data analysis, ETL/ELT processes, and business intelligence solutions. The role involves managing data lakes, pipelines, and architecture, with a preference for candidates experienced in IBM InfoSphere DataStage.
The Cloud Data Engineer will develop and maintain data pipelines and ETL/ELT processes using Python, PySpark, and SQL within GCP environments. The role involves collaborating with Agile teams to ensure data quality and optimize performance for analytics solutions.
Data Engineer developing and maintaining GCP data pipelines (BigQuery, Dataproc, Cloud Composer) using Python, PySpark, and SQL to support analytics and business reporting in Agile teams.
Senior Data Engineer designing and building scalable cloud-based data pipelines and data warehouse solutions using Snowflake, dbt, AWS, and Python within the supply chain domain.
The Senior Data Engineer builds and maintains scalable data pipelines and reliable storage systems using Snowflake, Java, and Python. This role involves leading technical implementation, mentoring team members, and ensuring data governance and quality standards.
Build and scale large-scale data pipelines and platforms for an AI-powered e-commerce discovery engine, using Spark, Kafka, Flink, and GCP to power personalization, recommendations, and ML systems.
Data & AI Consultant at Accenture analyzing business data, building dashboards in Power BI/Tableau, and developing ETL workflows using SQL and Python across cloud-based data environments.
Company Introduction WorldStrides is the global leader in educational travel and experiential learning. The company was founded in 1967 to provide middle school travel programs to Washington, D.C. and has grown to…
Senior Data Engineer building and scaling data pipelines, models, and integrations for regulated fintech payments/e-money services, ensuring compliance, scalability, and operational visibility in a global financial systems team.
Build and maintain data pipelines, models, and integrations on SAP HANA, SAP Datasphere, AWS, and Snowflake to support regulated payments and e-money reporting for a travel platform.
Data Engineer in Argentina designing and maintaining scalable ETL/ELT data pipelines on the Microsoft Azure Data Platform (Synapse Analytics, Databricks, Data Factory) to enable enterprise analytics and reporting.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms using Microsoft Azure, Microsoft Fabric, SQL, and Python. This hands-on role involves collaborating with cross-functional teams to improve data quality, architecture, and analytics capabilities.
The Senior Data Engineer will design and build modern cloud-based data platforms and pipelines while leading technical solution design for client projects. The role involves working with Snowflake, Azure, Python, and AI technologies to transform data into business-supporting solutions.
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