Compunnel Inc.

Data Engineer Cum Java-- SINDC5735474

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer Cum Java in Smithfield, Rhode Island, requiring 8+ years of experience, strong SQL skills, and Java proficiency. Contract length is unspecified, with a pay rate of "unknown." Onsite presence is needed for 2 weeks per month.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 6, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Smithfield, RI
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🧠 - Skills detailed
#AWS (Amazon Web Services) #PySpark #Spark (Apache Spark) #Cloud #Java #Snowflake #"ETL (Extract #Transform #Load)" #Data Engineering #Python #SQL (Structured Query Language) #Datasets
Role description
Title: Software Engineer / Data Location: Smithfield, Rhode Island (2 weeks onsite per month) – local candidates or those who can relocate immediately Interview Process: 2 rounds – 60 minutes each SELLING POINT The team owns a proprietary, enterprise-scale investment performance platform and supports several of client's rapidly growing business areas. This role offers high visibility and the opportunity to work with modern cloud and data technologies. REQUIRED SKILLS (Must Have) This is a data-focused role. Strong data engineers are required β€” not traditional Java application developers. 1. Primary skillset: Very strong SQL 1. Java experience – must be able to read and modify existing Java code (data transformation engine written in Java; not pure application development) 1. Data engineering mindset and experience working with large datasets and transformations 1. Bachelor’s or Master’s degree in a technology-related field with min 8+ years of design and development experience STRONGLY PREFERRED β€’ Spark / PySpark (candidates with strong Java can ramp up quickly) β€’ Snowflake (candidates with strong SQL can ramp up quickly) NICE-TO-HAVE SKILLS β€’ EMR / AWS β€’ Python Why Join: β€’ Work on a proprietary, enterprise-scale platform β€’ Opportunity to use modern cloud and data technologies β€’ Collaborative team of 10 across the USA and India.