Databricks Data Engineer

Nexiva • Charlotte, NC

3h • Hybrid

About The Position

Databricks Data Engineer THIS IS ALL ABOUT STRONG DATABRICKS EXPERIENCE Client: SMBC Location: Charlotte, NC (two days hybrid) Rate: $75/hr on W2 Interview: Teams with final round in person possible (must be agreed upon at submittal) Visa: NO H1 (VISA must be accurate; if you send me a GC who later turns out to be OPT, our relationship is done immediately; just be honest) Exp Level: 9+ years Duration: 12 months + Databricks Engineer to design, build, and maintain scalable data pipelines, lakehouse architectures, and analytics solutions using Microsoft Azure and the Databricks platform.

Requirements

• 3 to 7+ years of total experience in data engineering or cloud-based data platform development.
• Hands-on proficiency in Azure Databricks, Apache Spark, PySpark, and Azure Data Factory (ADF).
• Advanced SQL and solid programming skills in Python or Scala.
• Strong grasp of Delta Lake, relational/NoSQL data storage, data modeling, and data quality standards.

Nice To Haves

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field (often preferred)

Responsibilities

• Design and build Extract, Transform, Load (ETL) and ELT data pipelines using Azure Data Factory (ADF) and Azure Databricks
• Write optimized data processing code using Apache Spark, PySpark, Python, Scala, and advanced SQL.
• Implement and manage data lakes using Azure Data Lake Storage (ADLS Gen2) and Delta Lake / lakehouse patterns.
• Configure data governance, lineage, and access controls using Databricks Unity Catalog and Azure IAM.
• Monitor, troubleshoot, and tune Spark jobs and data pipelines for performance, reliability, and cost-efficiency.
• Support deployment processes utilizing Azure DevOps, Git version control, and infrastructure-as-code tools like Terraform.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior