Mastech Digital
Databricks Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Data Engineer, contract length unspecified, with a pay rate of "unknown", located "remote". Key skills include Databricks, PySpark, SQL, Delta Lake, and experience with Medallion Architecture. US citizenship and eligibility for Public Trust Clearance required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Delta Lake #Data Pipeline #Spark (Apache Spark) #Data Ingestion #SQL (Structured Query Language) #AI (Artificial Intelligence) #Python #Databricks #EDW (Enterprise Data Warehouse) #BI (Business Intelligence) #PySpark #Microsoft Power BI #Data Engineering #Data Access #Datasets #"ETL (Extract #Transform #Load)"
Role description
We are looking for a Databricks Data Engineer to help build and modernize data pipelines supporting FEMA’s enterprise data ecosystem.
What You’ll Do
• Build and maintain data ingestion and transformation pipelines in Databricks using PySpark and Databricks SQL
• Migrate datasets and ETL processes from FEMA’s legacy EDW into Delta Lake on Databricks
• Validate data parity between source systems and migrated datasets
• Design and implement Medallion Architecture (Bronze / Silver / Gold) with proper lineage and governance
• Use Unity Catalog for data access control and governance
• Leverage Databricks Autoloader, Lakeflow Connect, and Structured Streaming for incremental data ingestion
• Support curated datasets for Power BI, Databricks AI/BI Dashboards, and custom applications
Required Skills
• Strong hands-on experience in Databricks data engineering
• Proficiency in PySpark, Python, and SQL
• Experience with Delta Lake and Medallion Architecture
• Knowledge of Autoloader and/or Structured Streaming
• Experience working with Unity Catalog
Additional Requirements
• Must be a US Citizen
• Must be eligible to obtain Public Trust Clearance
We are looking for a Databricks Data Engineer to help build and modernize data pipelines supporting FEMA’s enterprise data ecosystem.
What You’ll Do
• Build and maintain data ingestion and transformation pipelines in Databricks using PySpark and Databricks SQL
• Migrate datasets and ETL processes from FEMA’s legacy EDW into Delta Lake on Databricks
• Validate data parity between source systems and migrated datasets
• Design and implement Medallion Architecture (Bronze / Silver / Gold) with proper lineage and governance
• Use Unity Catalog for data access control and governance
• Leverage Databricks Autoloader, Lakeflow Connect, and Structured Streaming for incremental data ingestion
• Support curated datasets for Power BI, Databricks AI/BI Dashboards, and custom applications
Required Skills
• Strong hands-on experience in Databricks data engineering
• Proficiency in PySpark, Python, and SQL
• Experience with Delta Lake and Medallion Architecture
• Knowledge of Autoloader and/or Structured Streaming
• Experience working with Unity Catalog
Additional Requirements
• Must be a US Citizen
• Must be eligible to obtain Public Trust Clearance
