Senior Data Engineer - Azure & Databricks Expert

PHT Staffing LLC; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

PHT Staffing LLC client seeks an experienced Data Engineer for a full-time role in Dallas, TX. The position requires hands-on expertise in Databricks, Azure cloud services, PySpark, Spark SQL, and building scalable ETL/ELT pipelines.

A face-to-face interview is required, and work authorization in the United States is stated as a prerequisite. The ideal candidate will design and optimize data pipelines, implement Medallion Architecture, and ensure robust data modeling and governance across ADLS

Qualifications

• 8+ years of experience in data engineering.
• 5+ years of hands-on experience with Databricks; expert-level expertise preferred.
• Strong expertise in Microsoft Azure and cloud-based data engineering solutions.
• Strong proficiency in PySpark, Apache Spark, Spark SQL, and Python.
• Extensive experience with Azure Data Factory (ADF) and ETL/ELT pipelines.
• Strong experience with Delta Lake and Medallion Architecture.
• Hands-on experience with Azure Data Lake Storage (ADLS Gen2).
• Strong SQL skills, including query optimization and performance tuning.
• Experience designing and implementing scalable, high-performance data pipelines.
• Experience with Databricks Jobs, Workflows, clusters, notebooks, and performance optimization.
• Strong understanding of data modeling, data warehousing, and data architecture.
• Experience with Git, CI/CD, and DevOps practices.
• Strong understanding of Azure security, governance, and access controls.
• Databricks Certification is a strong plus; certified candidates will be given first preference

Skills

Databricks

Azure

PySpark

Spark SQL

Python

Azure Data Factory

Delta Lake

ADLS Gen2

SQL

Data modeling

Data warehousing

Tools

Git

Job description

PHT Staffing LLC client seeks an experienced Data Engineer for a full-time role in Dallas, TX. The position requires hands-on expertise in Databricks, Azure cloud services, PySpark, Spark SQL, and building scalable ETL/ELT pipelines.

A face-to-face interview is required, and work authorization in the United States is stated as a prerequisite. The ideal candidate will design and optimize data pipelines, implement Medallion Architecture, and ensure robust data modeling and governance across ADLS