Data Python Engineer (Capital Markets)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Python Engineer (Capital Markets) with a contract length of "unknown" and a pay rate of "unknown." It requires 3 days onsite in Irvine, CA or Los Angeles, CA. Key skills include PySpark, SQL, AWS, and financial industry experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 25, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Irvine, CA
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🧠 - Skills detailed
#AWS (Amazon Web Services) #BitBucket #Spark (Apache Spark) #Databricks #Cloud #DevOps #Airflow #PySpark #SQL (Structured Query Language) #Python #Redshift #GitHub
Role description
• CANDIDATES WHO CANNOT WORK ON W2, SHOULD NOT APPLY TO THIS ROLE.
• ONLY LOOKING FOR W2 CANDIATES
3 Days Onsite Hybrid roles in Irvine, CA OR Los Angeles, CA (Either Location is fine)
(Capital Markets- Financial Experience)
Primary Skills:
• PySpark,Hive,SQL,Python
• Cloud Exposure : AWS
• Exposure to Airflow,Version tools like GitHub/BitBucket,Any MPP Dataware house exposure like SQLDW,Redshift
• Strong knowledge of Data warehousing concepts
• Exposure to Databricks
• Strong communication and client engagement skills
• Experience with offshore coordination and collaboration
Secondary skills
• Building an Enterprise Data Modelling in the finance domain, Asset Management preferred (Knowledge of finance across the asset classes like FI, Equity, etc)
• DevOps experience preferred
• AWS DQ
• CANDIDATES WHO CANNOT WORK ON W2, SHOULD NOT APPLY TO THIS ROLE.
• ONLY LOOKING FOR W2 CANDIATES
3 Days Onsite Hybrid roles in Irvine, CA OR Los Angeles, CA (Either Location is fine)
(Capital Markets- Financial Experience)
Primary Skills:
• PySpark,Hive,SQL,Python
• Cloud Exposure : AWS
• Exposure to Airflow,Version tools like GitHub/BitBucket,Any MPP Dataware house exposure like SQLDW,Redshift
• Strong knowledge of Data warehousing concepts
• Exposure to Databricks
• Strong communication and client engagement skills
• Experience with offshore coordination and collaboration
Secondary skills
• Building an Enterprise Data Modelling in the finance domain, Asset Management preferred (Knowledge of finance across the asset classes like FI, Equity, etc)
• DevOps experience preferred
• AWS DQ
