Browse remote Docker roles that accept candidates based in USA.
This page focuses on remote roles that list USA as an accepted candidate location. That matters because many remote jobs still restrict applications by country, timezone, payroll, legal entity, or hiring policy.
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.
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
Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings
Akumin
Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies
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.
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.
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