Revisa oportunidades remotas de Spark y confirma ubicaciones aceptadas antes de aplicar.
Esta página reúne roles remotos con elegibilidad de ubicación visible para profesionales de desarrollo, datos, DevOps, QA, soporte y otras áreas de TI.
Usa Spark como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
Block · 10418 Engineering - Data & Data Science
Become the subject-matter expert for Block's online data projections and event-streaming capabilities — designing the platform, frameworks, and standards others build on
Airbnb · Software Engineering
Define the architecture and contracts governing how models move from development to production — feature store design, model schema management, online/offline inference consistency, and multi-version support.
Instacart · Software Engineering
Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.
Instacart · Software Engineering
Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.
Reddit · Machine Learning
Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
Reddit · Ads Engineering
7+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale
Reddit · Ads Engineering
Design and build large-scale offline ML experimentation platforms that enable reproducible research, model development, evaluation, and promotion workflows.
Reddit · Machine Learning
Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
Affirm · Infrastructure Platform Eng
Influence technical strategy: Define and drive the long-term technical roadmap for Affirm’s Lakehouse Platform across Apache Iceberg, Spark, Snowflake, and cloud-native storage, balancing scalability, reliability, governance
Affirm · Infrastructure Platform Eng
Influence technical strategy: Define and drive the long-term technical roadmap for Affirm’s Lakehouse Platform across Apache Iceberg, Spark, Snowflake, and cloud-native storage, balancing scalability, reliability, governance
Affirm · Infrastructure Platform Eng
Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.
Affirm · Infrastructure Platform Eng
Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.
Samsara · Business Systems
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.
Samsara · Business Systems
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.
Samsara · Safety AI
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
Samsara · Safety AI
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
LaunchDarkly · Engineering
Design, build, and operate distributed, data-intensive backend systems that power Data Platform capabilities across Experimentation, Metrics, Release Guardian, Observability, Agent Control, and other product areas.
Databricks · HQ Management
Drive Revenue Growth
Databricks · HQ Management
Drive Revenue Growth
MongoDB · Technical Support Premium Services
5+ years of relevant experience
MongoDB · Technical Support Premium Services
5+ years of relevant experience
Datadog · Community
Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
Chainguard · Information Security
Continuously monitor Claude and ChatGPT product roadmaps, release notes, and vendor communications to anticipate platform changes before they land
Chainguard · Information Security
Continuously monitor Claude and ChatGPT product roadmaps, release notes, and vendor communications to anticipate platform changes before they land
Chainguard · Sales
Define and execute sales plans for your assigned territory
Chainguard · Business Development
Drive enterprise account strategy - Work alongside AEs to map target accounts and identify the right entry points across security, platform, and engineering teams.
Chainguard · Business Development
Drive enterprise account strategy - Work alongside AEs to map target accounts and identify the right entry points across security, platform, and engineering teams.
Chainguard · Business Development
Drive enterprise account strategy - Work alongside AEs to map target accounts and identify the right entry points across security, platform, and engineering teams.
Chainguard · R&D Engineering
Experience managing software, infrastructure, platform, or SRE teams.
Chainguard · Sales
Define and execute sales plans for your assigned territory
Chainguard · Sales
Define and execute sales plans for your assigned territory
Chainguard · Sales
Define and execute sales plans for your assigned territory
Baseten · EPD
Baseten Loops beta launch
Cimpress/Vista
Identify patterns of failure across the organisation. Analyse incidents and post-incident reviews to find the recurring technical root causes behind customer impact, rather than treating each incident as a one-off.
Airbyte · Engineering
Design and implement the orchestration layer that turns natural-language intent into reliable execution.
Sezzle · Data Science
End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.
Koantek · Data Science
Guide Big Data Transformations:Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.
Ensemble Health Partners · Data Science
Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
Valtech · Data Science
A curious problem solver who challenges the status quo
Machinify
Lead discovery & technical due diligence — get to the bottom of poorly documented legacy systems (ETL, stored procedures, reporting layers, file feeds), reconstruct the business logic, and capture it in the lineage maps
Design and stand up the organization's data and AI platform from the ground up — architecture, compute, storage, and the lakehouse foundation.
Shift5 · Data Science
Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.
Fusemachines
Convert data science prototypes (propensity, lookalike, segmentation, fusion) into reproducible, production-quality ML services.
Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed, analysis-ready data products.
Peraton · Data Science
Develop, train, and evaluate ML models (classification, regression, clustering, anomaly detection) and contribute to LLM-based capabilities such as RAG pipelines and prompt evaluation.
KinderCare Education, LLC
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
Teladoc Health · Data Science
Build production ready time series models to predict real time KPIs as well as build optimal decision actions to manage the provider network for clinical operations business optimization
Baseten · GTM
Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts in your assigned verticals
Baseten · EPD
Drive the Enterprise Readiness customer experience end to end: Partner with GTM and Enterprise Engineering to make "enterprise-ready" a platform-wide capability, not a deal-by-deal scramble.
Baseten · EPD
Real-time telemetry engine — Build the ingestion, reduction, storage, and query path for high-cardinality fabric, host, GPU, and workload telemetry.
Spacelift
Build and own the platform that powers all of Spacelift - from CI/CD to observability to incident response
Bixal · Data Science
Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks Intelligence Platform, and AWS services (S3, IAM roles and policies), including Kafka/streaming architectures, schema evolution
Bright Vision Technologies
Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient
Everfi
Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture
Pipeline Automation: Design, implement, and manage automated CI/CD and Continuous Training (CT) pipelines for machine learning model development, evaluation, and delivery.
Shift5 · Data Science
Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
Collectiv · Data Science
Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)
High-touch white-glove onboarding
Greenbox Capital
Platform Modernization & Legacy Replacement – Reducing reliance on legacy systems through scalable service development
Unity · Data Science
Build and maintain data pipelines that generate training datasets for machine learning models and experimentation
Baseten · EPD
Rolling Deployments
Baseten · EPD
Own the Capacity product end to end: scoping, design, implementation, and iteration based on feedback from internal stakeholders
Baseten · EPD
You will collapse time-to-production — take a developer from first sign-up to a running, maintained production deployment, and drive down the time it takes to get there.
Baseten · EPD
Own complex migrations end to end. Lead large-scale infrastructure migrations across teams and domains. This will involve scoping the work, sequencing dependencies, managing risk, and driving them to completion without surprises.
Baseten · EPD
Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s.
Baseten · EPD
Recruit, hire, and develop a high-performing team of systems engineers with deep container and Linux expertise.
Baseten · EPD
Develop infrastructure and orchestration systems for deploying and managing large-scale distributed LLM inference
Baseten · EPD
Cluster fabric design — Define InfiniBand or Ethernet-based architectures for GPU clusters.
Baseten · EPD
Lead, grow, and develop team leads across the Cloud Platform and Site Reliability Engineering orgs, building a culture of ownership, technical excellence, and continuous improvement.
Baseten · EPD
Model APIs for frontier models
Baseten · EPD
Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services.
Baseten · EPD
Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
Empieza con una palabra clave y luego filtra por stack o ubicación.