A4Assist
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 6–8 years of experience, focusing on Java Spring Batch ETL, AWS, and strong SQL. The 12-month hybrid engagement is located in Smithfield, RI, with a pay rate of up to $65/hr.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
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🗓️ - Date
December 9, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Smithfield, RI
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🧠 - Skills detailed
#Informatica #Data Engineering #Batch #Python #Scripting #SQL (Structured Query Language) #AWS (Amazon Web Services) #Snowflake #Oracle #Unix #"ETL (Extract #Transform #Load)" #Agile #Java #Shell Scripting #Data Modeling #DevOps #Data Analysis
Role description
🚀 We’re Hiring: Senior Data Engineer (W2 Only | US Citizens/GC Holders Only) 🚀
We’re looking for a Senior Data Engineer to join a long-term engagement with a leading financial services organization (client name confidential). This is a high-impact role focused on building and scaling enterprise-grade data platforms that support critical compensation, sales, and reporting ecosystems.
Role Overview
As a Senior Data Engineer, you’ll design, build, and support operational & analytical capabilities across a large-scale data platform. The work is hands-on and production-focused, involving solution design, data analysis, rollout, and long-term platform support.
You’ll be working heavily with:
✅ Java Spring Batch (ETL transformations)
✅ AWS
✅ Oracle
✅ Strong SQL for querying & validation
➕ Nice to have: Python, Snowflake, financial domain exposure
Important: ETL here is Java-based, not Informatica. Candidates without strong Java ETL experience will not be considered.
Must-Have Skills
• 6–8 years overall experience in Data Engineering
• 4–6 years Java development with Spring (Spring Batch required)
• 3+ years AWS development
• 4+ years strong SQL across Oracle (Snowflake a plus)
• Experience with large-scale ETL/data transformation pipelines
• Strong analytical/problem-solving mindset for ambiguous data challenges
Nice-to-Haves
• Python
• Snowflake
• Financial services domain experience
• Unix shell scripting, orchestration tools, data modeling
• DevOps, Agile, containerization exposure
Engagement Details
📍 Location: Smithfield, RI (local candidates preferred, relocation open)
🗓 Duration: 12 months (likely extension up to 2+ years)
🏢 Work Model: Hybrid — onsite every other week (5 days/week during onsite)
💰 Rate: Up to $65/hr on W2
✅ Pre-interview technical assessment required before submission
✅ Background check, credit check & drug screening part of onboarding
Eligibility Requirement (Please Read Carefully)
This role is ONLY for:
• US Citizens or Green Card holders
• Candidates who are ready to work on W2
• ❌ No C2C / No H1B
🚀 We’re Hiring: Senior Data Engineer (W2 Only | US Citizens/GC Holders Only) 🚀
We’re looking for a Senior Data Engineer to join a long-term engagement with a leading financial services organization (client name confidential). This is a high-impact role focused on building and scaling enterprise-grade data platforms that support critical compensation, sales, and reporting ecosystems.
Role Overview
As a Senior Data Engineer, you’ll design, build, and support operational & analytical capabilities across a large-scale data platform. The work is hands-on and production-focused, involving solution design, data analysis, rollout, and long-term platform support.
You’ll be working heavily with:
✅ Java Spring Batch (ETL transformations)
✅ AWS
✅ Oracle
✅ Strong SQL for querying & validation
➕ Nice to have: Python, Snowflake, financial domain exposure
Important: ETL here is Java-based, not Informatica. Candidates without strong Java ETL experience will not be considered.
Must-Have Skills
• 6–8 years overall experience in Data Engineering
• 4–6 years Java development with Spring (Spring Batch required)
• 3+ years AWS development
• 4+ years strong SQL across Oracle (Snowflake a plus)
• Experience with large-scale ETL/data transformation pipelines
• Strong analytical/problem-solving mindset for ambiguous data challenges
Nice-to-Haves
• Python
• Snowflake
• Financial services domain experience
• Unix shell scripting, orchestration tools, data modeling
• DevOps, Agile, containerization exposure
Engagement Details
📍 Location: Smithfield, RI (local candidates preferred, relocation open)
🗓 Duration: 12 months (likely extension up to 2+ years)
🏢 Work Model: Hybrid — onsite every other week (5 days/week during onsite)
💰 Rate: Up to $65/hr on W2
✅ Pre-interview technical assessment required before submission
✅ Background check, credit check & drug screening part of onboarding
Eligibility Requirement (Please Read Carefully)
This role is ONLY for:
• US Citizens or Green Card holders
• Candidates who are ready to work on W2
• ❌ No C2C / No H1B
