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Spark roles open to Ukraine.

Browse remote Spark roles that accept candidates based in Ukraine.

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Remote Spark jobs in Ukraine with clear eligibility

Candidate locationUkraineStack focusSparkMira checkCountry eligibility

This page focuses on remote roles that list Ukraine 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 search6 Spark roles ยท Location: Ukraine

Showing 6 of 6 roles

Eligibility checked
Hiring from UkraineCompany-site apply Jul 10

Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode

  • Senior
  • AWS
  • Azure
  • CI/CD
  • +4
Eligibility checked
Broad eligibilityCompany-site apply Jul 5

โ€ข AWS or other cloud certifications โ€ข Experience with Agile methodologies (Scrum/Kanban) โ€ข Knowledge of databases (Oracle or other RDBMS) and data migration tools โ€ข Exposure to big data technologies like Hadoop or Spark โ€ข Experience

  • Senior
  • AWS
  • Azure
  • Docker
  • +3
Eligibility checked
Broad eligibilityCompany-site apply Jul 4

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

  • Senior
  • AWS
  • Azure
  • CI/CD
  • +7
Eligibility checked
Broad eligibilityCompany-site apply Jul 4

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

  • Lead
  • AWS
  • Azure
  • CI/CD
  • +7

Infrastructure Ops Engineer

Baseten ยท G&A

Eligibility checked
Broad eligibilityCompany-site apply Mar 10

The "Lost Node" Investigation: Debugging cluster-level blockers to solve why pods aren't scheduling despite available capacity

  • Kubernetes
  • Spark
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