Databricks Data Engineer | Remote

TalentBurst, an Inc 5000 company; Los Angeles (CA); Remote; USD 75,000 - 110,000; Full time

Job summary

A leading company in staffing and recruiting seeks a Databricks Data Engineer for a remote role. The position focuses on accelerating data modernization, supporting report conversion, and enhancing data pipeline efficiencies. Ideal candidates will have strong expertise in Spark, SQL, and Azure services, along with relevant industry certifications.

Qualifications

• 3+ years hands-on experience with Databricks and Delta Lake architecture.
• 5+ years in PySpark or Scala, building ETL pipelines with Azure Data Factory.
• Strong SQL skills with experience in data modeling.

Responsibilities

• Support timely report conversion and improve data pipeline efficiency.
• Ensure data integrity and accessibility across the organization.
• Manage Databricks clusters and job scheduling.

Skills

Spark (PySpark/Scala)

SQL optimization

Python scripting

Data governance

Education

Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field

Databricks Certified Data Engineer Associate

Job description

• The Databricks Data Engineer will play a critical role in accelerating data modernization efforts.
• Their expertise will support timely report conversion, improve data pipeline efficiency, and help ensure data integrity and accessibility across the organization.
• Spark (PySpark/Scala) proficiency. SQL optimization and advanced querying skills.
• Azure Data Factory (ADF) or equivalent ETL pipeline experience Data warehousing concepts and architecture (Delta Lake).
• Python scripting for data manipulation and automation. Familiarity with Azure Cloud environment (Blob Storage, ADLS).
• Knowledge of data governance, data security, and compliance.
  
  

Job - Databricks Data Engineer

Location – Remote - Los Angeles, CA

Duration – 1 year contract

Skills Preferred

• The Databricks Data Engineer will play a critical role in accelerating data modernization efforts.
• Their expertise will support timely report conversion, improve data pipeline efficiency, and help ensure data integrity and accessibility across the organization.
• Databricks platform expertise (workspace management, clusters, job scheduling).
• Spark (PySpark/Scala) proficiency. SQL optimization and advanced querying skills.
• Azure Data Factory (ADF) or equivalent ETL pipeline experience Data warehousing concepts and architecture (Delta Lake).
• Python scripting for data manipulation and automation. Familiarity with Azure Cloud environment (Blob Storage, ADLS).
• Knowledge of data governance, data security, and compliance.
  
  

Experience Preferred

• 3+ years hands-on experience with Databricks, including cluster management and optimization. 3+ years of Delta Lake architecture and implementation.
• 5+ years background in PySpark or Scala for data engineering tasks.
• 5+ years of demonstrated success building efficient ETL pipelines, using Azure Data Factory (ADF) or similar.
• 5+ years of migrating legacy reports to modern cloud analytics platforms. 5+ years of strong SQL skills with expertise in data modeling and performance tuning.
• 5+ years of BI tools such as Power BI or Tableau.
  
  

Education Preferred

• Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field.
• Relevant industry certifications in Databricks, Azure Cloud, Data Engineering, or similar fields. Databricks Certified Data Engineer Associate (No more than 12 months expired)
  
  

Job #: 25-33373

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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