Senior Data Engineer (AI & Databricks)Location: Las Vegas, NV / Calabasas, CAWork Model: Onsite (4 days/week)Employment Type: Full-TimeWork Authorization: U.S. Citizens (USC) & Green Card Holders (GC) onlyRequired SkillsDatabricksAI/MLPythonAzure API DevelopmentETL Pipeline DevelopmentDevOps & CI/CDApache SparkSQLAzure Data ServicesKey ResponsibilitiesDesign 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 QualificationsBachelor'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.Senior Data Engineer (AI & Databricks)Location: Las Vegas, NV / Calabasas, CAWork Model: Onsite (4 days/week)Employment Type: Full-TimeWork Authorization: U.S. Citizens (USC) & Green Card Holders (GC) onlyRequired SkillsDatabricksAI/MLPythonAzure API DevelopmentETL Pipeline DevelopmentDevOps & CI/CDApache SparkSQLAzure Data ServicesKey ResponsibilitiesDesign 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 QualificationsBachelor'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.

Senior Data Engineer (AI & Databricks)

Senior Data Engineer (AI & Databricks)Location: Las Vegas, NV / Calabasas, CALocation:Work Model: Onsite (4 days/week)Work Model:Employment Type: Full-TimeEmployment Type:

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

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

Required Skills

Required Skills

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

Key Responsibilities

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

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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