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Scala Spark Engineer Data Engineering Ai

  • Job type Posted on: Jul 23, 2026
  • Experience level Programmers io
  • Employment type Sunnyvale, California
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Scala Spark Engineer Data Engineering Ai

Job Type :

Full-time

Job Location :

Sunnyvale California United States

Remote :

No

Jobcon Logo Job Description :

Job Description


We are looking for a Scala/Spark Engineer with strong Data Engineering experience and exposure to building AI-enabled data processing workflows.
Key Skills:

  • Strong hands-on experience in Scala and Apache Spark
  • Solid background in Data Engineering, including building scalable data processing pipelines
  • Experience developing backend services and distributed data processing applications
  • Ability to build or integrate Agentic/AI workflows into data pipelines, incorporating AI processing steps where needed
  • Familiarity with modern AI/LLM frameworks and APIs is a plus

Preferred Experience:

  • Experience working on AI/ML-enabled data platforms or intelligent data pipelines
  • Exposure to workflow orchestration, cloud data platforms, and distributed systems is desirable

Jobcon Logo Position Details

Posted:

Jul 23, 2026

Reference Number:

1424-35888

Employment:

Full-time

Salary:

Not Available

City:

Sunnyvale

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Description


We are looking for a Scala/Spark Engineer with strong Data Engineering experience and exposure to building AI-enabled data processing workflows.
Key Skills:

  • Strong hands-on experience in Scala and Apache Spark
  • Solid background in Data Engineering, including building scalable data processing pipelines
  • Experience developing backend services and distributed data processing applications
  • Ability to build or integrate Agentic/AI workflows into data pipelines, incorporating AI processing steps where needed
  • Familiarity with modern AI/LLM frameworks and APIs is a plus

Preferred Experience:

  • Experience working on AI/ML-enabled data platforms or intelligent data pipelines
  • Exposure to workflow orchestration, cloud data platforms, and distributed systems is desirable

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