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Senior Databricks Data Engineer

Numentica LLC
Posted 14 days ago, valid for 22 days
Location

Calabasas, CA, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The position is for a Senior Data Engineer specializing in AI and Databricks, located in Las Vegas, NV or Calabasas, CA, with an onsite work model of four days a week.
  • Candidates must be U.S. Citizens or Green Card Holders and should have a Bachelor's degree in Computer Science, Engineering, or a related field.
  • The role requires over 10 years of experience in Data Engineering and expertise in Databricks, Apache Spark, and cloud-based data platforms.
  • Key responsibilities include designing scalable data pipelines, developing intelligent APIs, and ensuring high data quality and performance.
  • The salary for this position is competitive and commensurate with experience, reflecting the seniority and technical expertise required.

Senior Data Engineer (AI & Databricks)


Location: Las Vegas, NV / Calabasas, CA
Work Model: Onsite (4 days/week)
Employment Type: Full-Time


Work Authorization: U.S. Citizens (USC) & Green Card Holders (GC) only

Required Skills

  • Databricks
  • AI/ML
  • Python
  • Azure API Development
  • ETL Pipeline Development
  • DevOps & CI/CD
  • Apache Spark
  • SQL
  • Azure Data Services

Key Responsibilities

  • Design and develop scalable batch and real-time data pipelines.
  • Build robust data ingestion, transformation, and analytics workflows.
  • Develop intelligent APIs and data products to support AI and business applications.
  • Ensure high data quality, reliability, and performance.
  • Collaborate with cross-functional teams to deliver scalable data solutions.
  • Support Azure-based data platforms for BI and AI/ML initiatives.
  • Participate in code reviews and implement CI/CD best practices.

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 10+ years of experience in Data Engineering.
  • Strong expertise in Databricks, Apache Spark, and cloud-based data platforms.
  • Proficiency in Python and SQL.
  • Hands-on experience with Azure data services and REST API development.
  • Experience with DevOps, CI/CD pipelines, and Agile methodologies.





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