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Data Engineer at a consulting firm designing and building scalable data pipelines and AI-first, cloud-native data solutions using Python, SQL, PySpark, and platforms like Databricks, Snowflake, and Microsoft Fabric.
Senior Manager of Data Infrastructure Location: National Who We Are and What We Believe: For nearly three decades, Bottom Line has partnered with students get into college, graduate, and go far. Especially for youth…
The Snowflake Architect will design and manage scalable enterprise data platforms, focusing on Snowflake administration, data modeling, and governance. The role involves overseeing the end-to-end data lifecycle across ODS, data warehouse, and data mart layers using AWS infrastructure.
Data Enhancement - Identifies and implements enhancements for the quality, management, and storage of enterprise data. Executes initiatives that improve profiling, exception reporting, and issue resolution as well as…
The Senior Data Engineer will design and optimize data workflows using Snowpark and DBT while building CI/CD pipelines and monitoring data processing. The role involves collaborating with cross-functional teams to develop scalable data solutions and AI agents.
We are looking for a technically-driven Lead Analyst to join our Regional Financials Marketing Analytics team. This high-impact role is centered around deepening our understanding of marketing growth drivers and…
Enterprise Account Executive Job Summary As an Enterprise Account Executive you will play a pivotal role in driving the growth of CData by identifying, prospecting, and closing new enterprise-level accounts. Leveraging…
Principal Industry Architect for Financial Services at Snowflake, designing data and AI-powered solution architectures for banking customers, driving adoption through executive engagement, and building repeatable industry assets using SQL, Python, and cloud platforms.
The Senior Data Analyst will manage the end-to-end lifecycle of regulatory reporting datasets, building automated pipelines and visualizations to ensure compliance. The role requires strong SQL, DBT, and data warehousing skills to collaborate across finance and engineering teams.
GENERAL SUMMARY: Under the direction of a Manager, Director or Lead/Experienced developer, implements a comprehensive program to extract data using a computer programming language or collect data, then analyze it and…
Deploys and operates secure, open-source data platforms for U.S. Department of Defense missions, integrating with legacy systems and ensuring compliance with strict security requirements.
Design and optimize data workflows, develop CI/CD pipelines, automate data testing, and monitor tasks using SQL, dbt, Snowflake, and Snowpark in a hybrid role in Poland.
Designs, implements, and optimizes Snowpark and dbt workflows for data processing, ensuring production stability, monitoring, and automation of data pipelines with AI/GenAI integration.
The Data Engineer will join the Core Data Platform team to design and maintain scalable data pipelines and integration mechanisms using Python, SQL, and Apache Spark. This role focuses on building shared platform components and ensuring high data quality and reliability within a global fintech environment.
Bluetab, an IBM Company. certificados ¡Great Place to Work & Best Work to Place! como una de las mejores compañías para trabajar. Es posible que un gran número de candidatos se presenten a este puesto, así que…
Data Engineer building scalable ETL/ELT pipelines and data models on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Composer) using SQL and Python for enterprise analytics and AI use cases.
Bluetab is seeking a Data Engineer with 4-5 years of experience to develop and optimize large-scale data pipelines using Scala, Python, and PySpark on Databricks. The role involves designing cloud-based data architectures and collaborating on complex data projects within an IBM-affiliated environment.
First dedicated data engineer owning the AWS-based data warehouse and pipelines, using Redshift, dbt, Python and SQL to model data for a UK property technology company.
The Junior Data Engineer will develop and maintain modern data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure Data Factory. The role involves integrating data from multiple sources, optimizing data transformations, and supporting SQL Server-based data warehouse environments.
The Data Engineer will build and maintain data pipelines, manage the Enterprise Data Warehouse, and create clean datasets to support business intelligence. The role focuses on data transformation, quality assurance, and performance optimization using technologies like SQL, Python, and AWS.
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