Data Engineer (Databricks)

PHT Staffing LLC; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

PHT Staffing LLC is seeking an experienced Data Engineer (Databricks) for the USA; remote position available. The role focuses on building and optimizing data pipelines, integrating Lakehouse solutions, and advancing data governance.

Ideal candidates have substantial Databricks, PySpark, Python, and SQL experience, plus exposure to Delta Lake and dbt. The position offers contract and full-time options with a strong emphasis on scalable data architectures.

Qualifications

• Minimum 7+ years in Data Engineering with pipelines and processing.
• 4+ years with Databricks, Databricks Lakehouse, and pipelines.
• 4+ years hands-on PySpark, Python, and SQL for data engineering.
• 3+ years in Lakehouse Architecture and Delta Lake.
• 3+ years migrating on-prem pipelines to Databricks/cloud platforms.
• 1+ years with dbt for transformation, modeling, testing.
• 1+ year with Unity Catalog for governance and access control.
• 1+ year with Databricks Genie Agents for analytics use cases.

Skills

Databricks

PySpark

Python

SQL

Lakehouse

Delta Lake

On-prem Migration

dbt

Unity Catalog

Databricks Genie

Lakeflow

Data Pipelines

Troubleshooting

Collaboration

Job description

One of our clients is looking for an experienced Data Engineer (Databricks) - USA (Remote) for a Contract and Fulltime (both available) opportunity.

Required Skills

• 7+ years of experience in Data Engineering, with strong expertise in data pipelines and data processing.
• 4+ years of hands‑on experience with Databricks, including data pipeline development and Lakehouse solutions.
• 4+ years of hands‑on experience with PySpark, Python, and SQL for data engineering, data transformation, and pipeline development.
• 3+ years of experience with Lakehouse Architecture and Delta Lake.
• 3+ years of experience migrating on-premises data pipelines to Databricks/cloud platforms.
• 1+ years of hands‑on experience with dbt (Data Build Tool) for data transformation, modeling, and testing.
• 1+ year of hands‑on experience with Unity Catalog for data governance and access management.
• 1+ year of hands‑on experience with Databricks Genie Agents for data and analytics use cases.
• Experience with Lakeflow and modern Databricks data pipeline development.
• Experience designing, developing, optimizing, and supporting scalable and reliable data pipelines.
• Strong troubleshooting, debugging, and performance optimization skills for data pipelines and production issues.
• Ability to collaborate effectively with data, analytics, and business teams to deliver data solutions.