556 total jobs
124 new jobs this week
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.
Leads the design and operation of data assets and pipelines, integrating complex healthcare datasets and building secure, reliable data foundations for products, analytics, and machine learning.
Own the architecture, ingestion, transformation, and production operations of a multi-source data platform, delivering reliable company intelligence through event-driven processing and orchestrated workflows.
Own the architecture, ingestion, and production operations of a multi-source data platform, delivering reliable, current company intelligence through orchestrated and event-driven pipelines.
Own the data platform end to end, designing and operating ingestion, event-driven processing, orchestration, and transformation systems that deliver reliable, current data to downstream products.
Own and improve self-hosted database infrastructure, build reliable data pipelines, and guide cross-functional projects that strengthen data quality, security, and scalability.
Build and own data pipelines, entity resolution, and pricing models that turn noisy marketplace listings into reliable comparable items and valuation signals, while monitoring data quality and partnering with computer vision teams.
Own and advance data platform initiatives spanning lake architecture, batch and streaming pipelines, event governance, data quality, privacy, and AI-assisted engineering standards.
Constrói e evolui arquiteturas de dados escaláveis, define padrões técnicos e otimiza pipelines e processos de ETL/ELT, garantindo qualidade, governança e segurança em ambientes complexos de dados.
Design and optimize scalable data pipelines and cloud-native architectures that support Data & AI initiatives, collaborating across teams to deliver secure, high-performing data solutions.
As a Senior Data Engineer, you will build, enhance, and maintain our data platform on Databricks, transforming large datasets into clean, usable data products.
Build and maintain Datadog dashboards, monitors, alerts, and log pipelines to improve visibility across applications, infrastructure, and environments, while diagnosing production issues and supporting DevOps reliability.
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.
Operate and evolve data pipelines, models, and reporting solutions that support internal decisions and client deliverables, with a focus on data quality, reliability, traceability, and responsive service.
Build customer-facing data products for the single-family home market, architect reliable data models and workflows, and shape the data platform’s architecture and engineering standards.
Architect marketing data infrastructure and AI-enabled products that power trusted self-serve analytics, automate workflows, and support strategic decisions across Marketing, Sales, and R&D.
Build and operate reliable infrastructure data products—including pipelines, models, and services—to support usage and cost insights, planning, attribution, and budgets while shaping technical direction across teams.
Build and support production data pipelines and transformations for healthcare data products, owning pipeline components, resolving data quality and performance issues, and collaborating across engineering and business teams.
As a Senior Data Engineer, you will design and develop analytical solutions, build data pipelines, and collaborate with clients to improve their data-driven insights.
As a Senior Data Engineer, you will design and implement AI-optimized data platforms and collaborate with clients to solve complex data engineering challenges across various industries.
As a Lead Data Engineer, you will design and implement AI-optimized data platforms, becoming a trusted advisor to clients while solving complex data engineering challenges.
As a Senior Database Reliability Engineer, you will ensure the performance, integrity, security, and availability of PostgreSQL databases in production environments.
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.
Those that list pay offer a median of $178,000 a year. The middle half pay between $141,000 and $205,000.
| Level | Range | Middle half · median |
|---|---|---|
| All levels | $141K–$205K · $178K |
22% of these listings post pay. From 54 listings with pay in USD, at most three per company.
6% of these listings are open worldwide and 2% to a whole region, like Europe or Latin America. The other 91% hire in specific countries:
From 431 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 217 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 28 days of being posted, and 1 in 4 within 10 days. Applying in the first week counts.
10 days
1 in 4 closed by then
28 days
Half closed by then
57 days
3 in 4 closed by then
From 220 listings that closed in the last 120 days, at most three per company.
