Revisa oportunidades remotas de Docker 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 Docker como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse.
Samsara · Platform
Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse.
Sedgwick · Data Science
Designs, builds, and maintains resilient ETL/ELT pipelines that ingest data from on‑premise systems, AWS services (S3, RDS), and Azure platforms (Blob Storage, Azure SQL)
RoadRunner
75% - Manage, lead & mentor our Platform Engineers
Parsons Corporation · Data Science
Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and enrich large volumes of chemical and biological threat data from diverse sources.
WiselyWise · Data Science
Model Development:Design, develop, and implement machine learning models and AI algorithms tailored to industry-specific use cases, particularly in predictive analytics, natural language processing, and computer vision.
Architect, implement, and maintain Azure cloud infrastructure using Infrastructure‑as‑Code (Terraform, Bicep, or ARM).
Omada Health
Want to make a difference in how people manage real life health problems.
Omada Health · Developer
Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization.
SumerSports LLC · Data Science
Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Dagster.
Epic · Developer
Drive the reliability of Epic's infrastructure—set and track SLOs/SLIs, reduce toil, and engineer out recurring instability.
Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
AbbVie · Data Science
Collaborate with cross-functional partners (Product Managers, Data Scientists, Data Engineers, Software Engineers, Business teams) to build data and Machine Learning products
Tergar International · Data Science
Design, build, and maintain reliable and scalable ETL (extract, transform, load) pipelines to collect, process, and store large volumes of structured and unstructured data from multiple sources.
TetraScience
Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
Waymark
Bold Builders: We tackle the toughest challenges in care delivery by harnessing the power of community and technology.
Factored
Cross-Functional Stakeholder Leadership: Translate complex business requirements into technical AI specifications in collaboration with product, operations, and business teams.
Inizio Partners Corp · Data Science
Pipeline Development: Build and automate end-to-end machine learning pipelines from data ingestion to model deployment.
3Pillar Global · Data Science
Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.
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.
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
3Pillar Global
Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
iHerb
Designs and builds scalable data extracts, integrations, transformations, and data models.
RoadRunner
75% - Manage, lead & mentor our Platform Engineers
SunStrong Management, LLC
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.
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.
Stand up and operate BetMGM's ML platform on AWS (SageMaker Training, Model Registry, Pipelines, Endpoints, Batch Transform) and Snowflake (Snowpark ML, Cortex), with Terraform-managed infrastructure.
MediaRadar · Data Science
Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
Stravito
Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)
Goodway Group
Build modern web applications - Design, develop, and maintain full-stack applications using React, JavaScript/TypeScript, Node.js, and AWS technologies.
KATBOTZ · Data Science
Build and maintain ML pipelines for training, testing, and deployment
Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
NirYu · Data Science
Build new structured datasets, including scraping accelerators, Form D filings and dynamic web sources.
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
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
Striveworks · Data Science
Developing machine learning pipelines and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
Omada Health
Want to make a difference in how people manage real life health problems.
Pipeline Automation: Design, implement, and manage automated CI/CD and Continuous Training (CT) pipelines for machine learning model development, evaluation, and delivery.
Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
Shift5 · Data Science
Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
ShyftLabs · Data Science
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.
Akumin
Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies
Senior-level fullstack engineering experience
Stride, Inc. · Data Science
Applies expertise in applied AI, model, API, and pipeline creation, as well as the presentation of data to see beyond the numbers and understand how our users interact with our core products
Quantiphi · Developer
Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments
Appsilon · Data Science
Design, build, and maintain scalable data pipelines across diverse environments.
MediaRadar
Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.
Guidehouse · Data Science
Design and implement batch and streaming ingestion from APIs, relational databases, file drops, event streams, and external partners.
Airbyte · Technical Support
Serve as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarity.
Airbyte · Technical Support
Serve as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarity.
Deepgram · Research
Scalable Model Training: Architect and manage horizontally scalable systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models.
Prefect · Go To Market
Develop a clear, technical understanding of Prefect's platform — including durable execution, AI agent orchestration, MCP, and the broader ecosystem of competing solutions
Replit · Engineering
Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs.
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