Browse remote Docker opportunities and confirm accepted candidate locations before applying.
This page focuses on remote roles with visible candidate-location eligibility for developers, engineers, DevOps, data, QA, support, and other IT professionals.
Use Docker as a stack filter without changing the original role titles, comparing seniority, accepted countries, and application readiness before opening the full role page.
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.
Appsilon · Data Science
Design, build, and maintain scalable data pipelines across diverse environments.
OPTION · Developer
Participar en proyectos desafiantes enfocados en la optimización de costos en plataformas cloud a gran escala.
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)
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.
SumerSports LLC · Data Science
Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Dagster.
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.
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.
NirYu · Data Science
Build new structured datasets, including scraping accelerators, Form D filings and dynamic web sources.
Academic Partnerships · Data Science
Design, build, and own scalable data pipelines and dimensional models on Databricks (PySpark, SQL, medallion architecture) — delivering trusted, on-time data products and meeting SLAs within your assigned scope.
Omada Health · Developer
Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization.
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.
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.
Rush Street Interactive · Data Science
Maintain and enhance the Snowflake data platform and data pipelines, leveraging AI-assisted development tools to improve efficiency, reliability, and maintainability.
Stravito
Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)
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
CertifID · Data Science
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.
Midnite · Data Science
Take ownership of end-to-end data engineering projects.
Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings
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
Kitman Labs · Data Science
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold)
Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
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.
Mutt Data
Partner with cross-functional teams to define BI and analyticsrequirements
Damia Group · Data Science
3-5 years of experience as a Data Engineer / MLOps Engineer
Xayn · Data Science
at least 2 years of professional experience in data engineering
Mutt Data · Data Science
Partner with cross-functional teams to define BI and analyticsrequirements
Cloudflare · Business Intelligence
Design and implement core components of our data pipelines and services in Go and Scala, with a focus on scalability, performance, and long-term maintainability.
iHerb
Designs and builds scalable data extracts, integrations, transformations, and data models.
Lumiq
Lead, mentor, and manage a team of Data Engineers to deliver high-quality data solutions.
NeueHealth
Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala. May include development with C# and SQL.
Xenon7
About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting- edge projects that leverage the latest technologies across various domains
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
GROPYUS · Data Science
Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers
AbbVie · Data Science
Own small to medium components of machine learning systems from technical designthrough implementation and delivery
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.
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.
Replit · Engineering
Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs.
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.
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.
RoadRunner
75% - Manage, lead & mentor our Platform Engineers
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.
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
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.
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.
RoadRunner
75% - Manage, lead & mentor our Platform Engineers
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.
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
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Mutt Data · Data Science
Develop and optimize ML models, ensuring scalability, monitoring, and integration with MLOps best practices.
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.
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
Mutt Data · Data Science
Lead and mentor the team, fostering skill development and best practices.
Quantiphi · Developer
Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments
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
Cloudflare · Business Intelligence
Design and implement key features of our internal applications
Cloudflare · Business Intelligence
Deploy, manage & support ML Applications & Services on Kubernetes
Enfuce · Data Science
Design, build, and maintain scalable MLOps infrastructure for machine learning and Generative AI applications.
Booksy · Developer
Foundational Platform Experience: 4+ years of hands-on experience in data platform, infrastructure, SRE, or backend/DevOps engineering.
Halliburton · Developer
Develop and maintain backend services and REST APIs using Python frameworks (FastAPI, Flask, or Django)
Mitek Systems · Data Science
Design, train, and deploy machine learning models for image-based fraud detection, including
CI&T · Developer
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
Teneo Online School · Developer
Build and maintain backend services, APIs, webhooks and integration services.
HighLevel
Architect & Scale: Design and build highly scalable and reliable backend services using Node.js, MongoDB, and ElasticSearch, ensuring optimal indexing, sharding, and query performance
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