PRI Global
Cloud Data Engineer Only on W2(USC or GC )
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Data Engineer with a contract length in St. Louis, MO (Hybrid). Pay is on W2 for USC or GC. Key skills include Python, Spark fundamentals, Databricks, and relational DB experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 3, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
St Louis, MO
-
🧠 - Skills detailed
#GDPR (General Data Protection Regulation) #Data Engineering #Scala #Spark SQL #Oracle #Spark (Apache Spark) #SQL Server #Delta Lake #Python #API (Application Programming Interface) #AWS (Amazon Web Services) #Azure #Batch #SQL (Structured Query Language) #Data Ingestion #DBA (Database Administrator) #Databricks #Cloud
Role description
Cloud Data Engineering (Production Support)
St Louis, MO(Hybrid)
Contract
Local consultants will be considerded
Only on w2(USC or GC)
Core Responsibilities
• Production support for Databricks notebooks, Spark streaming apps, and APIs.
• Ownership of Level 1 / Bronze batch ingestion for ~60 data sources.
• Work includes:
• Data ingestion from various relational DBs or AWS → Delta Lake.
• Adding new tables/columns, change management, GDPR/purge processes.
• Product optimization: upgrades, resiliency work, performance improvements.
• Occasional new development for shared-service tools, not business-facing projects.
Required Technical Skills
• Python (must have)
• Spark fundamentals (architecture, DataFrames, Spark SQL)
• Databricks experience
• Relational DB experience (Oracle, SQL Server, Postgres; not a DBA)
• Understanding of Delta Lake
Nice-to-Haves:
• Spark streaming
• API development experience
• Azure experience preferred; AWS acceptable
• Scala not required
Cloud Data Engineering (Production Support)
St Louis, MO(Hybrid)
Contract
Local consultants will be considerded
Only on w2(USC or GC)
Core Responsibilities
• Production support for Databricks notebooks, Spark streaming apps, and APIs.
• Ownership of Level 1 / Bronze batch ingestion for ~60 data sources.
• Work includes:
• Data ingestion from various relational DBs or AWS → Delta Lake.
• Adding new tables/columns, change management, GDPR/purge processes.
• Product optimization: upgrades, resiliency work, performance improvements.
• Occasional new development for shared-service tools, not business-facing projects.
Required Technical Skills
• Python (must have)
• Spark fundamentals (architecture, DataFrames, Spark SQL)
• Databricks experience
• Relational DB experience (Oracle, SQL Server, Postgres; not a DBA)
• Understanding of Delta Lake
Nice-to-Haves:
• Spark streaming
• API development experience
• Azure experience preferred; AWS acceptable
• Scala not required
