Roles remotos de GCP con elegibilidad clara.

Design, implement, and optimize robust, scalable data pipelines using GCP services such as BigQuery, Cloud Dataflow, Cloud Dataproc, and Cloud Composer(or airflow).

• Senior
• GCP
• Java
• Python
• +2

Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Dagster.

• Senior
• AWS
• Azure
• CI/CD
• +7

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

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

• Middle
• AWS
• Azure
• GCP
• +3

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

• Senior
• AWS
• Azure
• CI/CD
• +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

Lead design and evolution of our cloud-native data platform built primarily on Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, Cloud Run, Airflow (Cloud Composer), and Healthcare API.

• Senior
• AWS
• GCP
• Python
• +1

Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads

• Senior
• AWS
• Azure
• GCP
• +3

Create and maintain optimal data pipeline architecture,

• Middle
• GCP
• Python
• SQL

Guide Big Data Transformations:Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.

• Middle
• AWS
• Azure
• CI/CD
• +4

Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems

• Middle
• AWS
• Azure
• CI/CD
• +3

Put Patients First

• Middle
• AWS
• Azure
• GCP
• +4

(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

Build new structured datasets, including scraping accelerators, Form D filings and dynamic web sources.

• Middle
• AWS
• Docker
• GCP
• +3

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: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly

• Senior
• AWS
• Azure
• GCP
• +4

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: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly

• Senior
• AWS
• Azure
• GCP
• +4

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 the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

• Senior
• GCP
• Python
• SQL

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

• Senior
• GCP
• Python
• SQL

Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on

• Senior
• GCP
• Python
• SQL

Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.

• Middle
• AWS
• Azure
• GCP
• +5

Architect, build, and maintain our data model, data pipelines, and data access layer that support our care delivery, operations, and analytics in collaboration with the data platform team.

• Senior
• AWS
• Azure
• GCP
• +2

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

• Senior
• AWS
• Azure
• CI/CD
• +4

Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.

• Middle
• AWS
• Azure
• GCP
• +5

Database architecture and design of data warehouses & data marts to support presentation layers elastic cubes, reporting and analytics.

• Senior
• AWS
• Azure
• GCP
• +3

Develop long-term technical vision for the team

• Senior
• CI/CD
• GCP
• Python
• +1

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

• Senior
• AWS
• GCP
• Snowflake

Design, build, and operate end-to-end data pipelines (batch and near-real-time) that ingest, transform, and deliver data from diverse sources into the enterprise data platform.

• Senior
• AWS
• Azure
• CI/CD
• +7

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

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

• Senior
• AWS
• Azure
• GCP
• +3

Design and build of ETL processes in collaboration with software and model development teams.

• Senior
• AWS
• GCP
• Python
• +1

Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes.

• Senior
• AWS
• Azure
• GCP
• +4

Take ownership of undefined problems — dig in, scope the work, and ship solutions, whether that's a pipeline, a dashboard, a tracking implementation, or something we haven't thought of yet

• Middle
• GCP
• LLM
• Python
• +4

Pipeline Engineering: Design, develop, and maintain resilient, scalable, and efficient end-to-end data pipelines.

• Senior
• CI/CD
• GCP
• Python
• +3

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

• Senior
• Azure
• GCP
• Python
• +2

Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture

• Senior
• AWS
• Azure
• GCP
• +5

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

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

• Senior
• AWS
• Azure
• CI/CD
• +7

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

• Lead
• AWS
• Azure
• CI/CD
• +7

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

• Senior
• AWS
• Azure
• CI/CD
• +4

Architect Scalable Cloud Solutions: Lead the design and implementation of end-to-end GCP-based architectures covering data, applications, infrastructure, and security.

• Senior
• GCP
• Java
• Python
• +1

Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.

• Senior
• AWS
• Azure
• Docker
• +5

Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies

• Senior
• AWS
• Azure
• Docker
• +6

Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold)

• Senior
• AWS
• CI/CD
• Docker
• +3

Create, develop, maintain, and leverage data pipelines, data models, reporting, and dashboards to solve business problems or assigned tasks in coordination with multiple teams.

• Senior
• GCP
• Snowflake
• SQL

Product-Driven Engineering: Design, build, and maintain high-performing rails and javascript applications that power core application features and support our mobile applications

• Senior
• AWS
• Azure
• GCP
• +5

Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.

• Middle
• AWS
• Azure
• GCP
• +2

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

Diseñar, desarrollar y mantener canalizaciones de datos (ETL/ELT) utilizando Python y SQL, bajo la Arquitectura Medallion, asegurando la transformación, limpieza y estructuración de los datos en Google Cloud Platform (GCP).

• Middle
• GCP
• Python
• SQL

Desarrollar, mantener y optimizar pipelines ETL/ELT.

• Middle
• GCP
• Python
• SQL

3-5 years of experience as a Data Engineer / MLOps Engineer

• Middle
• CI/CD
• Docker
• GCP
• +1

Design, implement, and optimize Elasticsearch clusters for high-performance querying and data retrieval.

• Middle
• AWS
• Azure
• GCP
• +6

Architect a greenfield, multi-layer data warehouse (raw, refined, serving) that separates analytical workloads from production OLTP traffic.

• Senior
• AWS
• Azure
• CI/CD
• +2

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

Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode

• Senior
• AWS
• Azure
• CI/CD
• +4

Design and Build:Develop and implement scalable, secure, and cost-effective cloud-based data solutions.

• Senior
• GCP
• Python
• SQL

Design and build scalable data engineer services that power analytics, reporting, machine learning, and AI workloads across Maropost products.

• Senior
• GCP
• LLM
• PostgreSQL
• +3

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

The Snowflake platform is scalable, performant, secure, cost-efficient, and trusted across the organisation.

• Senior
• AWS
• Azure
• CI/CD
• +4

Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.

• Senior
• AWS
• Azure
• GCP
• +3

Lead the technical design and implementation of CMG's Medallion 2.0 lakehouse architecture — bronze ingestion, silver transformation, and gold domain layers — built on GCS and Databricks (Delta Lake)

• Senior
• GCP
• SQL

4+ years working as a Data Engineer in modern cloud environments.

• Senior
• CI/CD
• GCP
• Python
• +3

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

Collaborate with cross-functional teams to identify, collect, and validate data sources and analytics requirements

• Senior
• CI/CD
• GCP
• SQL

Customer Outcomes: Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction

• Lead
• AWS
• Azure
• GCP
• +1