

Matlen Silver
Data Engineer (Oracle Pl/SQL)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Oracle PL/SQL) with a contract length of "unknown" and a pay rate of "unknown," located in "Charlotte, NC" or "Jersey City, NJ." Requires 5+ years of experience, strong Oracle PL/SQL skills, and payments domain knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
North Carolina, United States
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🧠 - Skills detailed
#Data Architecture #Database Design #Data Abstraction #SQL Queries #Agile #"ETL (Extract #Transform #Load)" #Data Transformations #Triggers #Virtualization #Leadership #Automation #Data Modeling #Database Performance #Scala #AI (Artificial Intelligence) #Oracle #SQL (Structured Query Language) #Cloud #ML (Machine Learning) #Data Engineering
Role description
Looking for local candidates only. No C2C or w2 referrals.
Job Description
Senior Developer / Data Engineer (Oracle PL/SQL & Payments Data Platform)Position SummaryWe are seeking a hands-on Senior Developer / Data Engineer to support and modernize a critical enterprise data platform supporting payments, treasury, analytics, and AI initiatives. This role will focus heavily on Oracle PL/SQL development, data modeling, performance optimization, and the creation of scalable data solutions that enable operational reporting, advanced analytics, and emerging AI capabilities.
The ideal candidate is a strong technical contributor who enjoys solving complex data challenges, optimizing enterprise-scale platforms, and working closely with business and technology stakeholders in a fast-paced Agile environment.
Key Responsibilities
• Develop, enhance, and maintain the GWBars data platform utilizing Oracle PL/SQL.
• Design, build, and optimize data models, data transformations, and reporting structures supporting operational and analytical workloads.
• Modernize existing data architecture by reducing duplicate data models, improving performance, and implementing reusable data abstractions.
• Support enterprise data deliveries consumed by analytics, reporting, and AI teams.
• Participate in proof-of-concept initiatives involving data virtualization, abstraction layers, and AI-driven reporting capabilities.
• Collaborate with product owners, business stakeholders, and development teams to translate requirements into scalable technical solutions.
• Perform performance tuning, query optimization, and database design improvements.
• Participate in Agile ceremonies including sprint planning, backlog refinement, and technical design discussions.
• Leverage modern development tools, automation, and AI-assisted development capabilities to improve productivity and delivery speed.
Required Qualifications
• 5+ years of experience as a Data Engineer, Database Developer, ETL Developer, or related role.
• Strong hands-on expertise with Oracle Database and advanced PL/SQL development.
• Experience developing stored procedures, packages, functions, triggers, and complex SQL queries.
• Strong understanding of data modeling principles and relational database design.
• Experience optimizing database performance and designing scalable data solutions.
• Experience working within Agile development environments.
• Ability to troubleshoot complex data and system issues across multiple applications.
• Strong analytical and problem-solving skills.
Preferred Qualifications
• Experience with data virtualization or abstraction technologies such as Starburst.
• Experience supporting enterprise analytics, reporting, or AI/ML data platforms.
• Knowledge of modern data architecture patterns and common data models.
• Familiarity with cloud-based data platforms and distributed data environments.
• Experience leveraging AI-assisted development tools and automation.
Payments & Treasury Domain Experience (Highly Preferred)Candidates with experience supporting payments, treasury, or commercial banking environments are strongly preferred.
Desired domain knowledge includes:
• Real-Time Payments (RTP)
• ISO 20022 messaging standards
• pain.001, pain.008, pain.009, and related payment message formats
• Treasury and corporate payment processing workflows
• Financial transaction data models and payment lifecycle processing
Desired Characteristics
• Hands-on technical contributor who enjoys coding and solution development.
• Strong attention to performance, scalability, and maintainability.
• Adaptable and eager to learn new technologies.
• Proactive and collaborative team player.
• Able to balance tactical delivery with long-term platform modernization goals.
• Demonstrates strong interview-to-resume consistency through real-world project experience.
LocationPreferred locations:
• Charlotte, NC
• Jersey City, NJ
Candidates located near team hubs are strongly preferred to support collaboration with business and technology stakeholders.
Employment Type
• Contract or contract-to-hire.
• Opportunity for conversion based on business needs and candidate fit.
What Success Looks Like
• Successfully modernizes and optimizes core Oracle-based data platforms.
• Delivers scalable, high-performing data solutions that support reporting, analytics, and AI initiatives.
• Demonstrates strong payments domain understanding and technical leadership.
• Contributes to data architecture improvements and enterprise modernization efforts.
• Serves as a trusted technical partner across product, business, analytics, and engineering teams.
Looking for local candidates only. No C2C or w2 referrals.
Job Description
Senior Developer / Data Engineer (Oracle PL/SQL & Payments Data Platform)Position SummaryWe are seeking a hands-on Senior Developer / Data Engineer to support and modernize a critical enterprise data platform supporting payments, treasury, analytics, and AI initiatives. This role will focus heavily on Oracle PL/SQL development, data modeling, performance optimization, and the creation of scalable data solutions that enable operational reporting, advanced analytics, and emerging AI capabilities.
The ideal candidate is a strong technical contributor who enjoys solving complex data challenges, optimizing enterprise-scale platforms, and working closely with business and technology stakeholders in a fast-paced Agile environment.
Key Responsibilities
• Develop, enhance, and maintain the GWBars data platform utilizing Oracle PL/SQL.
• Design, build, and optimize data models, data transformations, and reporting structures supporting operational and analytical workloads.
• Modernize existing data architecture by reducing duplicate data models, improving performance, and implementing reusable data abstractions.
• Support enterprise data deliveries consumed by analytics, reporting, and AI teams.
• Participate in proof-of-concept initiatives involving data virtualization, abstraction layers, and AI-driven reporting capabilities.
• Collaborate with product owners, business stakeholders, and development teams to translate requirements into scalable technical solutions.
• Perform performance tuning, query optimization, and database design improvements.
• Participate in Agile ceremonies including sprint planning, backlog refinement, and technical design discussions.
• Leverage modern development tools, automation, and AI-assisted development capabilities to improve productivity and delivery speed.
Required Qualifications
• 5+ years of experience as a Data Engineer, Database Developer, ETL Developer, or related role.
• Strong hands-on expertise with Oracle Database and advanced PL/SQL development.
• Experience developing stored procedures, packages, functions, triggers, and complex SQL queries.
• Strong understanding of data modeling principles and relational database design.
• Experience optimizing database performance and designing scalable data solutions.
• Experience working within Agile development environments.
• Ability to troubleshoot complex data and system issues across multiple applications.
• Strong analytical and problem-solving skills.
Preferred Qualifications
• Experience with data virtualization or abstraction technologies such as Starburst.
• Experience supporting enterprise analytics, reporting, or AI/ML data platforms.
• Knowledge of modern data architecture patterns and common data models.
• Familiarity with cloud-based data platforms and distributed data environments.
• Experience leveraging AI-assisted development tools and automation.
Payments & Treasury Domain Experience (Highly Preferred)Candidates with experience supporting payments, treasury, or commercial banking environments are strongly preferred.
Desired domain knowledge includes:
• Real-Time Payments (RTP)
• ISO 20022 messaging standards
• pain.001, pain.008, pain.009, and related payment message formats
• Treasury and corporate payment processing workflows
• Financial transaction data models and payment lifecycle processing
Desired Characteristics
• Hands-on technical contributor who enjoys coding and solution development.
• Strong attention to performance, scalability, and maintainability.
• Adaptable and eager to learn new technologies.
• Proactive and collaborative team player.
• Able to balance tactical delivery with long-term platform modernization goals.
• Demonstrates strong interview-to-resume consistency through real-world project experience.
LocationPreferred locations:
• Charlotte, NC
• Jersey City, NJ
Candidates located near team hubs are strongly preferred to support collaboration with business and technology stakeholders.
Employment Type
• Contract or contract-to-hire.
• Opportunity for conversion based on business needs and candidate fit.
What Success Looks Like
• Successfully modernizes and optimizes core Oracle-based data platforms.
• Delivers scalable, high-performing data solutions that support reporting, analytics, and AI initiatives.
• Demonstrates strong payments domain understanding and technical leadership.
• Contributes to data architecture improvements and enterprise modernization efforts.
• Serves as a trusted technical partner across product, business, analytics, and engineering teams.






