Vagas remotas de Snowflake com elegibilidade clara.

Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.

• Lead
• AWS
• Azure
• GCP
• +3

Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.

• Lead
• AWS
• Azure
• GCP
• +3

Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.

• Lead
• AWS
• Azure
• GCP
• +3

Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.

• Lead
• AWS
• Azure
• GCP
• +3

Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.

• Lead
• AWS
• Azure
• GCP
• +3

Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.

• Lead
• AWS
• Azure
• GCP
• +3

Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.

• Lead
• AWS
• Azure
• GCP
• +3

Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.

• Lead
• AWS
• Azure
• GCP
• +3

Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.

• Lead
• AWS
• Azure
• GCP
• +3

Build and deliver AI solutions: Take ownership of developing delightful, high-performance AI features to help users discover, organize, and optimize access to large datasets.

• Lead
• AWS
• Azure
• GCP
• +3

Design, build, and maintain scalable MLOps infrastructure for machine learning and Generative AI applications.

• Senior
• AWS
• Azure
• CI/CD
• +6

En SDG Group somos líderes globales en Big Data, Business Intelligence, Analytics e Inteligencia Artificial.

• Senior
• AWS
• Azure
• CI/CD
• +1

Design the target-state data architecture: Postgres CDC → Kafka → Snowflake → client-facing data products.

• Middle
• AWS
• Kubernetes
• PostgreSQL
• +2

Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards

• Senior
• AWS
• Python
• Snowflake
• +1

En SDG Group somos líderes globales en Big Data, Business Intelligence, Analytics e Inteligencia Artificial.

• Senior
• AWS
• CI/CD
• Snowflake
• +1

Develop, communicate, and execute the long-term strategic objectives for Workiva’s multi-tenant data platform sub-function, ensuring alignment with enterprise-wide objectives

• Lead
• Snowflake

Q3 2026 - from September, 3-month notice period accepted

• Junior
• Python
• REST
• Snowflake
• +1

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

• Senior
• AWS
• Docker
• GCP
• +3

5+ years of experienceas a Data Engineering (designing and maintaining data pipelines, data quality, reliability).

• Senior
• AWS
• GCP
• Snowflake

Build scalable, high-performance data infrastructure that transforms complex transactional and financial data into trusted datasets for regulatory reporting and business operations.

• Senior
• AWS
• Python
• Snowflake
• +1

Maintain and enhance the Snowflake data platform and data pipelines, leveraging AI-assisted development tools to improve efficiency, reliability, and maintainability.

• Senior
• AWS
• Azure
• Docker
• +6

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

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings

• Lead
• Snowflake

Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation

• Senior
• Salesforce
• Snowflake
• SQL

Design and oversee the implementation of an Operational Data Store (ODS) to provide a unified, real-time view of production data.

• Senior
• AWS
• LLM
• Python
• +3

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

• Senior
• AWS
• Docker
• GCP
• +3

Take ownership of end-to-end data engineering projects.

• Senior
• AWS
• Docker
• Python
• +2

Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation

• Senior
• Salesforce
• Snowflake
• SQL

Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions

• Senior
• AWS
• Azure
• CI/CD
• +4

Data Platform & Pipeline Engineering: Design and operate scalable, near real-time data pipelines for payment and platform data.

• Senior
• Python
• Snowflake
• SQL

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.

• Senior
• Azure
• CI/CD
• Snowflake
• +1

Design, manage, and improve the data infrastructure required by the teams that consume data.

• Senior
• AWS
• CI/CD
• Python
• +1

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

are the core components of our service offerings. With a balanced view of strategy, people, process and technology, we work with companies to understand their specific business needs to develop and implement practical business strategies

• Senior
• AWS
• Azure
• Snowflake

Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources

• Senior
• Java
• Python
• Snowflake
• +2