187 total jobs
43 new jobs this week
Cloudera is seeking a customer-facing Data Lakehouse Specialist to empower clients with data insights and drive success in Business Intelligence and AI analytics.
Constrói e mantém pipelines de dados escaláveis em GCP e Databricks, projetando arquiteturas Lakehouse e garantindo qualidade, performance e governança para apoiar decisões estratégicas.
Desenvolve e otimiza pipelines de dados escaláveis em Azure e Databricks, trabalhando com processamento distribuído, modelagem e armazenamento, automação de implantações e confiabilidade de rotinas em produção.
Desenvolve pipelines de dados e modela ontologias, taxonomias e grafos de conhecimento, conectando engenharia de dados, recuperação de informação e IA generativa para viabilizar ingestão e inferência por máquinas.
Design and deliver client-facing data platforms with Microsoft Fabric and Databricks, building scalable lakehouse architectures, optimized pipelines, and semantic models that enable trusted reporting and self-service analytics.
Design end-to-end data platforms and analytics solutions, from lakehouse architecture and ELT/ETL pipelines to enterprise Power BI models and dashboards, while advising clients and translating business needs into scalable technical.
Build customer support data models, metrics, and dashboards to explain contact drivers, measure automation and self-service outcomes, monitor operational performance, and help teams prioritize evidence-based improvements.
Build and maintain scalable data pipelines, ETL/ELT processes, and orchestration systems that deliver reliable, usable data for business needs and support machine learning workflows.
Engenheiro de Dados Pleno responsável por migrar tabelas e pipelines do Cloudera Hadoop para AWS, desde o levantamento do ambiente até a estabilização em produção.
Build and improve observability across data and infrastructure platforms, closing monitoring gaps, refining alerts, and delivering reliability metrics and dashboards that help teams detect issues proactively.
Build and optimize ETL/ELT pipelines, data models, and cloud-based data platforms that support analytics and reporting, using Python, SQL, Spark, Databricks, Snowflake, and AWS.
Desarrolla soluciones de ingeniería de datos con Databricks para proyectos internacionales, aplicando arquitectura Medallion, PySpark y SparkSQL, y automatizando pipelines y procesos CI/CD.
Build a canonical entity and knowledge graph that resolves identities across internal systems, enabling auditable permissions, compliance-ready data classification, and real-time authorization for operational agents.
Design, build, and maintain scalable data warehouse and lake solutions, developing reliable data pipelines and improving data quality and performance to support analytics and business decisions.
Map, transform, and validate data from higher education systems to create a unified data model, with traceable specifications and quality checks that support reliable analysis of student outcomes.
Design and optimize secure, compliant data pipelines and delivery architecture, improving data quality and scalability while partnering with technology and business teams to meet enterprise information needs.
Build the data models, pipelines, and automation that make cloud costs and margins trustworthy, while identifying and delivering savings across AWS and GCP in partnership with Engineering and Finance.
Develops and productionizes machine learning and GenAI solutions, improving data pipelines and existing code while collaborating across data and application teams to deliver reliable, scalable capabilities.
As a Semantic Data Engineer, you will enhance a complex platform by managing RDF data models, optimizing SPARQL queries, and ensuring data quality across the system.
As a Cloud Data Platform Engineer, you will design and develop a self-service Data Platform, optimizing performance and security while supporting Data Engineering and Machine Learning initiatives.
As a DWH Engineer, you will analyze large datasets, develop ingestion processes, and design data warehouse models while leveraging cloud technologies.
As a Data Integration and Governance Analyst, you will enhance data pipelines, manage system migrations, and ensure data quality and reliability through automation.
Design and develop scalable data platforms and pipelines, leveraging cloud technologies and distributed frameworks to support analytics and operational needs.
Design and build scalable data platforms and pipelines to support analytics and data-driven decision-making, ensuring data quality and reliability across multiple projects.
6% of these listings are open worldwide and 3% to a whole region, like Europe or Latin America. The other 91% hire in specific countries:
From 137 listings that state where they hire.
What hiring companies here ask for far more often than across all remote jobs, so it is worth putting front and center on your resume.
Share of the 87 companies hiring here that ask for each skill, and how many times as often as across all remote jobs. Soft skills like communication are left out.
Half stop taking applications within 26 days of being posted, and 1 in 4 within 8 days. Applying in the first week counts.
8 days
1 in 4 closed by then
26 days
Half closed by then
56 days
3 in 4 closed by then
From 104 listings that closed in the last 120 days, at most three per company.
