Revisa roles remotos de Python que aceptan candidatos en Estados Unidos.
Esta página reúne roles remotos abiertos para candidatos en Estados Unidos. Así evitas perder tiempo con posiciones que parecen remotas, pero restringen contratación por país, zona horaria, nómina o política interna.
Usa Python como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
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.
WellSky · Data Science
Design, implement, and optimize robust, scalable data pipelines using GCP services such as BigQuery, Cloud Dataflow, Cloud Dataproc, and Cloud Composer(or airflow).
Fieldwire by Hilti · Data Science
Design, build, and maintain automated data pipelines that move data from source systems (Salesforce, Xero, Ramp, product databases) into our central data lake and warehouses
Malvern Panalytical · Data Science
Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products.
Alt.xyz · Data Science
Design, optimize and own data pipelines that scrape, process and ingest transaction and listing data from major auction houses and marketplaces.
SumerSports LLC · Data Science
Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Dagster.
SHI International Corp. · Data Science
Design, develop, and implement scalable data pipelines and software solutions to support data engineering and analytics needs.
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.
Teravision Technologies · Data Science
Fully remote position.
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.
B3 Consulting Poland · Data Science
Building and maintaining a data platform for the public transport industry — designing scalable ELT pipelines in BigQuery using dbt, handling real-time data (GTFS-RT)
Privia Health · Data Science
Pipeline Development: Design, build, and maintain data pipelines that ingest, transform, and deliver healthcare data (payer files, claims, attribution, eligibility) through staging, transformation, and mart layers.
HelioCampus · Data Science
Develop: Design, build, and deploy robust ETL/ELT solutions using SQL and Python.
INflow Federal · Data Science
Design, implement, and maintain data pipelines and ETL processes supporting ingestion, transformation, and validation of mission data
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.
Penn Foster · Data Science
Developing Python, SQL, and PySpark based applications and data flows in Databricks
TheHiveCareers · Data Science
and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security
Innovatus Technology Consulting · Data Science
Design, develop, and maintain scalable data pipelines to ingest, transform, and curate logistics, maintenance, and supply chain data from multiple USMC systems.
Ardent MC · Data Science
Data Engineering & Pipeline DevelopmentDesign, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
Dorle Controls LLC · Data Science
, and designing scalable data lake and data warehouse solutions. Experience across multiple data platforms (Databricks, Snowflake, Azure Data Factory, Synapse, etc.) is a strong advantage. Key Responsibilities 1.
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
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.
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