Roles remotos de Salesforce con elegibilidad clara.

Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring.

• Middle
• CI/CD
• Python
• Salesforce
• +2

Lead the end-to-end design, development, and implementation of enterprise data warehouse solutions supporting corporate analytics

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

Design, build, and maintain automated data pipelines that move data from source systems (Salesforce, Xero, Ramp, product databases) into our central data lake and warehouses

• Senior
• Python
• Salesforce
• Snowflake
• +1

Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products.

• Senior
• LLM
• Python
• Salesforce
• +1

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

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

Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.

• Senior
• AWS
• CI/CD
• Docker
• +5

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

• Senior
• CI/CD
• Docker
• Kubernetes
• +4

Design und Implementierung kompletter ETL/ELT-Pipelines – von der Ingestion bis zum konsumierbaren Datenprodukt

• Senior
• Azure
• Salesforce
• SQL

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

• Senior
• Salesforce
• Snowflake
• SQL

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

• Senior
• Salesforce
• Snowflake
• SQL

Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources

• Senior
• AWS
• MongoDB
• Python
• +3

Define and own the vision, strategy, and roadmap for data products (e.g., dashboards, data platforms, model features and enhancements, etc) that support data-driven insights, decisioning, and actions.

• Lead
• AWS
• Salesforce
• Snowflake
• +1

​​Data Analysis and Interpretation: Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency

• Lead
• CI/CD
• Salesforce
• SQL

​​Data Analysis and Interpretation: Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency

• Lead
• CI/CD
• Salesforce
• SQL

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

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

• Lead
• CI/CD
• GCP
• JavaScript
• +4

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

• Lead
• CI/CD
• GCP
• JavaScript
• +4

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

• Lead
• CI/CD
• GCP
• JavaScript
• +4

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

• Lead
• CI/CD
• GCP
• JavaScript
• +4

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

• Senior
• CI/CD
• GCP
• JavaScript
• +4