Senior Databricks Data Engineer

Numentica LLC

$135K — $160K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 10+ years of experience in Data Engineering
  • Expertise in Databricks and Apache Spark
  • Proficient in Python and SQL
  • Hands-on experience with Azure data services
  • Experience in REST API development, DevOps, and CI/CD pipelines

Responsibilities

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

Benefits

  • Onsite work model four days a week
  • Opportunity to work in a cutting-edge AI and Databricks environment
  • Collaborative culture with cross-functional teams
  • Full-time employment status with stable hours
  • Focus on professional growth in a high-demand field
Full Job Description
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.

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