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Build and operate Cyera's next-generation data platform, designing scalable Spark-on-Kubernetes infrastructure, Apache Iceberg lakehouse storage, and Airflow orchestration to power AI security products.
Leads the design and implementation of scalable data platforms using Databricks for federal agencies, focusing on analytics, governance, and security while mentoring engineering teams.
The Data Scientist will build and maintain machine learning models and data pipelines within a Databricks Lakehouse environment to support marketing intelligence. The role involves data preparation, feature engineering, and model evaluation using Python, PySpark, and SQL.
Data Engineer building and maintaining ETL pipelines, data models, and a lakehouse infrastructure using Azure Synapse Analytics, Databricks, Python, and PySpark in a hybrid role in Kuala Lumpur.
The Data Engineer will design and implement robust data pipelines using Azure cloud services, Python, and PySpark to ensure seamless data flow and high-quality analytics. The role involves collaborating with stakeholders to optimize data ingestion and transformation processes across various enterprise systems.
Lead AI & Data Analytics Engineer building AI-enabled analytics products for federal acquisition modernization using Palantir Foundry, Microsoft Power Platform, Databricks, SQL, and Python.
Builds and maintains data pipelines and products in a hybrid cloud environment (AWS/GCP) to power analytics across The New York Times, using Python, SQL, PySpark, and dbt.
The Senior Data Engineer will design and manage ETL/ELT pipelines for large-scale data processing using AWS, PySpark, Spark Streaming, and Kafka. This is a 100% remote role based in Spain focusing on Big Data solutions.
This Senior Data Engineer role involves designing and managing large-scale data platforms, ETL pipelines, and governance frameworks for a leading AI and quantum software company. The position requires expertise in Python, SQL, cloud data platforms, and distributed processing frameworks like Spark to support AI and machine learning initiatives.
Lead data engineering and platform solutions, building and maintaining pipelines and workflows with Databricks, Airflow/Astronomer, Python, SQL, dbt on AWS, while driving data governance, CI/CD automation, and observability.
The Data Engineer Lead will architect and implement enterprise-level data solutions using Databricks, Apache Airflow, and AWS. The role focuses on building automated CI/CD pipelines, ensuring data governance and quality, and maintaining system observability.
The Data Engineer will build and maintain large-scale data pipelines and lakehouse architectures to process billions of daily events for an AI-powered productivity platform. The role involves designing ETL frameworks, ensuring data quality, and collaborating with cross-functional teams to support data-driven product features.
The Azure Data Platform Engineer will build and optimize scalable batch and streaming data pipelines using Azure Data Factory, Databricks, Python, and PySpark. The role involves managing event-driven architectures, ensuring data quality, and integrating AI models into enterprise systems.
Data Engineer building scalable data pipelines and ETL workflows on-site in New Zealand, using Apache Airflow, Spark/PySpark/Scala, Databricks, Docker, and Advanced SQL.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data transformation workflows using Microsoft Fabric and PySpark. The role involves working with large-scale datasets to support enterprise analytics and business intelligence initiatives.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist - Clearance Required based in the United States. This is a senior…
The Senior Data Engineer will design and implement advanced data pipelines using Databricks, PySpark, and Python. This role requires 6-8 years of experience and involves working with Delta Lake and Lakehouse architectures in a client-facing, office-based environment in Singapore.
The Senior Data Engineer will design, build, and optimize scalable data pipelines using AWS, Databricks, PySpark, and Delta Lake. The role focuses on delivering robust data solutions for large-scale datasets within a professional services environment.
Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you! Currently, we are searching for a full-time Software Engineer to cooperate with our US client -…
Location: Charlotte, NC (Full time onsite) Job Description: Must Have Technical/Functional Skills Primary skills: Hadoop, Hive, Python, PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture,…
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