Roles remotos de Azure con elegibilidad clara.

Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software

• Lead
• AWS
• Azure
• Java
• +5

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

• Senior
• React
• AI
• Android
• +14

Build and maintain Python Notebooks to ingest data from third-party APIs

• Senior
• Azure
• Python

Co-develops batch and streaming pipelines, semantic models, and transformationson Databricks (Python/Spark).

• Senior
• AWS
• Azure
• Python
• +1

Architect, implement, and maintain Azure cloud infrastructure using Infrastructure‑as‑Code (Terraform, Bicep, or ARM).

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

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Lead end-to-end data migration initiatives, ensuring a smooth, secure, and business-aligned transition.

• Senior
• AWS
• Azure
• Python
• +1

Cross-Functional Stakeholder Leadership: Translate complex business requirements into technical AI specifications in collaboration with product, operations, and business teams.

• Senior
• AWS
• Azure
• CI/CD
• +4

Serve as the primary owner and technical steward of the Trilon enterprise data platform

• Senior
• Azure
• SQL

Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.

• Senior
• AWS
• Azure
• GCP
• +4

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

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

• Senior
• Azure
• CI/CD
• LLM
• +3

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

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

Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.

• Senior
• AWS
• Azure
• GCP
• +4

and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security

• Senior
• Java
• Python
• SQL
• +4

Strong hands-on experience with Azure Data Factory.

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

Design and maintain robust data pipelines to ingest from a wide range of sources, including APIs, documents, websites, and raw sensor data

• Middle
• AWS
• Azure
• GCP
• +4

Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion

• Senior
• AWS
• Azure
• GCP
• +4

A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems

• Senior
• AWS
• Azure
• CI/CD
• +3

Act as a technical advisor for the integration between Databricks and data privacy/governance tools.

• Senior
• AWS
• Azure
• CI/CD
• +2

At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.

• Senior
• Azure
• GCP
• Python
• +2

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4