AFS Vision/ Data Architect / Principal Data Engineer :: 6 Months :: Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect / Principal Data Engineer on a 6-month remote contract. Key skills include AFS Vision, loan process, and data engineering. A bachelor’s degree in computer science or equivalent experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 4, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Java #REST (Representational State Transfer) #SQL (Structured Query Language) #Version Control #Data Engineering #Data Management #DBA (Database Administrator) #Virtualization #"ETL (Extract #Transform #Load)" #Metadata #API (Application Programming Interface) #Data Security #BI (Business Intelligence) #Computer Science #REST API #Automation #Cloud #Security #Big Data #Distributed Computing #Visualization #Data Architecture
Role description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Javen Technologies, Inc, is seeking the following. Apply via Dice today!

Title: Data Architect / Principal Data Engineer

Location: Remote

Duration: 6 Months contract

Required: AFS Vision, Loan process, Data Engineering

Job Summary:

Data Architects build and maintain a company s database by identifying structural and installation solutions. They work with database administrators and analysts to secure easy access to company data. Duties include creating database solutions, evaluating requirements, and preparing design reports.

MINIMUM KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

   • Bachelor s degree in computer science/information systems or equivalent combination of education and experience.

   • Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group.

   • Fundamental understanding of distributed computing principles

   • Knowledge of application and data security concepts, best practices, and common vulnerabilities.

   • Conceptual understanding of one or more of the following disciplines preferred big data technologies and distributions, metadata management products, commercial ETL tools, BI and reporting tools (visualization), messaging systems, data warehousing, SQL, Java (language and run time environment), major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, data testing, major cloud, or rest API design and development.