iSpace, Inc.

Data Engineer/Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer/Analyst in Raymond, OH (hybrid). It is a 14+ month W2 contract at $57/hr, requiring a Bachelor's degree, 3-5 years of experience, AWS proficiency, strong SQL skills, and data visualization expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
456
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🗓️ - Date
January 28, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Raymond, OH
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🧠 - Skills detailed
#AI (Artificial Intelligence) #BI (Business Intelligence) #Microsoft Power BI #R #"ETL (Extract #Transform #Load)" #Visualization #Database Management #AWS (Amazon Web Services) #Data Engineering #Lambda (AWS Lambda) #S3 (Amazon Simple Storage Service) #Python #Data Analysis #Redshift #Computer Science #Tableau #ML (Machine Learning) #SQL (Structured Query Language)
Role description
• • • • • IT'S A W2 CONTRACT ROLE, NO C2C/1099 • • • • • Title: Data Analyst / Engineer Location: Raymond, OH (Hybrid – 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role, person will be responsible for conducting data analysis to support decision-making processes within the organization. The ideal candidate will have a strong analytical mindset, excellent communication skills, and the ability to work collaboratively with cross-functional teams. TOP SKILLS Requirements: • Bachelor's degree in Computer Science, Information Technology, or a related field. • Proven 3-5 years of experience in a Data Analyst role. • Strong proficiency in AWS services (S3, Redshift, Lambda, etc.). • Excellent analytical and problem-solving skills. • Experience with data visualization tools (e.g., Tableau, Power BI). • Strong SQL skills and familiarity with database management. • Ability to lead and manage tasks and activities effectively. • Excellent communication and collaboration skills. • Ability to work both independently and collaboratively in a team-oriented environment. • Preferred Qualifications: • Experience with machine learning and AI tools. • Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques. • Knowledge of data warehousing concepts and ETL processes.