Holistic Partners, Inc
Data Engineer|| W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Wilmington, DE, on a contract-to-hire basis, requiring 8–10 years of experience. Key skills include PySpark, AWS, and Snowflake. Must be a USC/GC/GC EAD. Programming focus is 40% in Python/Java.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Wilmington, DE
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Ingestion #AWS EMR (Amazon Elastic MapReduce) #Data Engineering #Java #Security #AWS Glue #Apache Airflow #Python #Cloud #Snowflake #Programming #Spark (Apache Spark) #Apache Spark #Data Quality #AWS (Amazon Web Services) #Scala #Data Analysis #Airflow #PySpark #Data Lake #Data Security
Role description
Job Opportunity: Data Engineer
Location: Wilmington, DE – Onsite
Duration: Contract to Hire
Interview Process: Zoom interview with Live Coding; onsite may be required
Open for USC/GC/GC EAD only due to legal or government contract requirement
Key Responsibility
• Create/manage ETL pipelines for the data lake and Snowflake; automate data analysis/aggregation work.
• Design, build, and manage scalable ETL pipelines for a data lake and Snowflake environment, ensuring efficient data ingestion, transformation, and loading.
• Automate data analysis and aggregation processes to support business insights and reporting.
• Collaborate with cross-functional teams to optimize data workflows and maintain data quality.
Key Skills:
Data lake, AWS, ETL, Snowflake, Control‑M, Apache Airflow, PySpark, Java Spark
Experience: 8–10 years
Project: Large-scale Financial Data Exchange & Data Security platform handling transaction processing and data movement.
Role: 60% Data Engineering, 40% Programming (Python/Java).
Must-Have Skills:
• PySpark (Strong hands-on experience)
• Apache Spark
• AWS Glue ETL
• AWS EMR
• Snowflake
• Python
• Java
• Data Structures & Algorithms
• AWS/Cloud Infrastructure
Preferred Domain: Banking, Financial Services, Payments, Transaction Processing.
Job Opportunity: Data Engineer
Location: Wilmington, DE – Onsite
Duration: Contract to Hire
Interview Process: Zoom interview with Live Coding; onsite may be required
Open for USC/GC/GC EAD only due to legal or government contract requirement
Key Responsibility
• Create/manage ETL pipelines for the data lake and Snowflake; automate data analysis/aggregation work.
• Design, build, and manage scalable ETL pipelines for a data lake and Snowflake environment, ensuring efficient data ingestion, transformation, and loading.
• Automate data analysis and aggregation processes to support business insights and reporting.
• Collaborate with cross-functional teams to optimize data workflows and maintain data quality.
Key Skills:
Data lake, AWS, ETL, Snowflake, Control‑M, Apache Airflow, PySpark, Java Spark
Experience: 8–10 years
Project: Large-scale Financial Data Exchange & Data Security platform handling transaction processing and data movement.
Role: 60% Data Engineering, 40% Programming (Python/Java).
Must-Have Skills:
• PySpark (Strong hands-on experience)
• Apache Spark
• AWS Glue ETL
• AWS EMR
• Snowflake
• Python
• Java
• Data Structures & Algorithms
• AWS/Cloud Infrastructure
Preferred Domain: Banking, Financial Services, Payments, Transaction Processing.
