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Spark roles open to USA.

Browse remote Spark roles that accept candidates based in USA.

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Remote Spark jobs in USA with clear eligibility

Candidate locationUSAStack focusSparkMira checkCountry eligibility

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 Spark as a stack filter without changing the original role titles, comparing seniority, accepted countries, and application readiness before opening the full role page.

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Current search7 Spark rolesLocation: USA

Showing 7 of 7 roles

Data Engineer

Teravision Technologies 路 Data Science

Eligibility checked
Broad eligibilityCompany-site apply Jul 14

Fully remote position.

  • Senior
  • AWS
  • Python
  • Spark
  • +1
Eligibility checked
10 accepted countriesCompany-site apply Jul 11

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

  • Senior
  • Azure
  • CI/CD
  • LLM
  • +3

Data Engineer

TheHiveCareers 路 Data Science

Eligibility checked
4 accepted countriesCompany-site apply Jul 11

and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security

  • Senior
  • Java
  • Python
  • SQL
  • +4
Broad eligibilityCompany-site apply Jul 6

Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.

  • Senior
  • AWS
  • Docker
  • Kubernetes
  • +4

Data Engineer

Nebius 路 Data Science

Eligibility checked
Broad eligibilityCompany-site apply Jul 4

Design, develop, and maintain scalable data pipelines.

  • Senior
  • Docker
  • Kubernetes
  • Python
  • +2
Eligibility checked
2 accepted countriesCompany-site apply Jul 4

Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies

  • Senior
  • AWS
  • Azure
  • Docker
  • +6
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