Vagas remotas de Snowflake para candidatos em Estados Unidos.

Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.

• Senior
• AWS
• Azure
• GCP
• +2

Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.

• Senior
• AWS
• CI/CD
• PostgreSQL
• +3

, and designing scalable data lake and data warehouse solutions. Experience across multiple data platforms (Databricks, Snowflake, Azure Data Factory, Synapse, etc.) is a strong advantage. Key Responsibilities 1.

• Senior
• AWS
• Azure
• CI/CD
• +5

(functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives Profile data to assess the accuracy and completeness of data sources and work with business

• Middle
• AWS
• Azure
• CI/CD
• +3

Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.

• Middle
• AWS
• CI/CD
• Docker
• +7

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.

• Senior
• AWS
• Azure
• CI/CD
• +3

Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation

• Middle
• Azure
• Snowflake
• SQL

Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.

• Senior
• AWS
• Azure
• CI/CD
• +5

Design and build scalable, secure, and cost-effective data solutions in Snowflake.

• Senior
• AWS
• Azure
• GCP
• +3

You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly

• Python
• Salesforce
• Snowflake
• +2

Build, maintain and improve the enterprise data warehouse. Monitor & improve performance, implement patches and upgrades, minimize database downtime and manage parameters to provide fast query responses.

• Junior
• Python
• Snowflake
• SQL

Create, maintain and execute intermediate to advanced Spark scripts for data management and data validation, and data integration.

• Middle
• AWS
• Azure
• GCP
• +3

Put Patients First

• Middle
• AWS
• Azure
• GCP
• +4

Guide clients on optimizing their data environment to work most effectively and efficiently for them. Clarify management objectives through data solutions.

• Senior
• AWS
• Python
• Snowflake
• +1

Support partner onboarding into clean room environments across platforms such as Snowflake, LiveRamp, Databricks, or similar technologies.

• Senior
• Python
• Snowflake
• SQL

Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.

• Senior
• Python
• Snowflake
• SQL

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.

• Lead
• AWS
• Azure
• GCP
• +5

Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.

• Lead
• AWS
• Azure
• GCP
• +5

Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)

• Senior
• AWS
• Azure
• CI/CD
• +4

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1