Offer summary

Qualifications:

Bachelor's degree in Computer Science, Data Science, or related field., 3+ years of hands-on experience with Databricks and Delta Lake architecture., 5+ years of experience with PySpark or Scala for data engineering., Strong SQL skills with expertise in data modeling and performance tuning..

Key responsibilities:

Support data modernization efforts and improve data pipelines.

Manage and optimize Databricks platform and clusters.

Convert reports and ensure data integrity and accessibility.

Develop and automate ETL pipelines using Azure Data Factory or similar tools.

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Job description

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)

Required profile