

Holistic Partners, Inc
Data Engineer (W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (W2) in Irvine, California, hybrid for 3 months with potential extension. Key skills include PySpark, SQL, AWS, and data warehousing. Experience in finance domain and offshore coordination is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 17, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Irvine, CA
-
🧠 - Skills detailed
#DevOps #Cloud #Spark (Apache Spark) #PySpark #Redshift #GitHub #Data Warehouse #Python #SQL (Structured Query Language) #AWS (Amazon Web Services) #BitBucket #Data Engineering #Databricks #Airflow
Role description
Job Title: Data Engineer
Location: Irvine, California (Hybrid – Onsite 3 Days a Week)
Duration: 3 Months + Extension
Interview Process: Video
Job Description
• PySpark, Hive, SQL, Python
• Cloud Exposure: AWS
• Exposure to Airflow, Version tools like GitHub, BitBucket, Any MPP Data Warehouse 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 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
Job Title: Data Engineer
Location: Irvine, California (Hybrid – Onsite 3 Days a Week)
Duration: 3 Months + Extension
Interview Process: Video
Job Description
• PySpark, Hive, SQL, Python
• Cloud Exposure: AWS
• Exposure to Airflow, Version tools like GitHub, BitBucket, Any MPP Data Warehouse 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 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






