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Numentica Llc Jobs (NOW HIRING)

Senior Databricks Data Engineer

Calabasas, CA · On-site

$120K - $145K/yr

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 ...

This is a remote position. We are seeking a skilled Data Platform Engineer (Oracle EBS Application DBA) to join our team and play a key role in shaping the technical vision for our next-generation ...

Senior Data Engineer

San Diego, CA · On-site

$40 - $65/hr

We are seeking a hands-on Technical Lead to lead the development and operation of its Microsoft Fabric-based Platform. This role combines data platform architecture, hands-on engineering, technical ...

Senior Data Engineer

San Diego, CA · On-site

$114K - $155K/yr

We are seeking a hands-on Technical Lead to lead the development and operation of its Microsoft Fabric-based Platform. This role combines data platform architecture, hands-on engineering, technical ...

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Infographic showing various Numentica Llc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Senior Databricks Data Engineer

Numentica LLC

Calabasas, CA • On-site

$120K - $145K/yr

Full-time

Re-posted 11 hours ago


Job description


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.