Senior Databricks Data Engineer

TechRuiter; Las Vegas (NV); On-site; USD 120,000 - 180,000; Full time

Job summary

TechRuiter in Las Vegas, NV is seeking a senior Data Engineer to design scalable data pipelines and support AI/ML initiatives. This onsite role requires 4 days per week in the office and full-time employment. U.S. Citizens and Green Card holders only.

You will build ingestion and transformation workflows, develop APIs and data products, ensure data quality, and collaborate with teams to deliver robust data solutions leveraging Databricks and Azure services.

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 dataservices and REST API development.
• Experience with DevOps, CI/CD pipelines, and Agile methodologies.

Responsibilities

• Design and develop scalable batch and real-time datapipelines.
• 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.

Skills

Databricks

AI/ML

Python

DevOps & CI/CD

SQL

Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

Job description

Job Description

Location:Las Vegas, NV/ Calabasas, CA

Work Model:Onsite (4 days/week)

Employment Type:Full-Time

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

Required Skills

• Databricks
  
• AI/ML
  
• Python
  
• DevOps & CI/CD
  
• SQL
  

Key Responsibilities

• Design and developscalable batch andreal-time datapipelines.
  
• Build robust dataingestion, transformation, and analytics workflows.
  
• Develop intelligent APIsand data productsto support AIand business applications.
  
• Ensure high dataquality, reliability, andperformance.
  
• Collaborate with cross-functional teams todeliver scalable datasolutions.
  
• Support Azure-baseddata platforms forBI and AI/ML initiatives.
  
• Participate in codereviews and implementCI/CD bestpractices.
  

Required Qualifications

• Bachelor's degree inComputer Science, Engineering, or a relatedtechnical field.
  
• 10+ years ofexperience in DataEngineering.
  
• Strong expertise inDatabricks, Apache Spark, and cloud-baseddata platforms.
  
• Proficiency in Pythonand SQL.
  
• Hands-on experiencewith Azure dataservices and RESTAPI development.
  
• Experience with DevOps, CI/CD pipelines, and Agile methodologies.