Data Engineer; Oracle Pl​/SQL

Looking for local candidates only. No C2C or w2 referrals.

Senior Developer / Data Engineer (Oracle PL/SQL & Payments Data Platform)

Position Summary

We 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.

• 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.

• 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.

• 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.

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

• 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.

Preferred locations:

• Charlotte, NC
• Jersey City, NJ

Candidates located near team hubs are strongly preferred to support collaboration with business and technology stakeholders.

• Contract or contract‑to‑hire.
• Opportunity for conversion based on business needs and candidate fit.

• 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.