Sparq

(Contractor) Senior SAP Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Contractor Senior SAP Engineer with a contract length of "unknown," offering a pay rate of "unknown," and requires work in the U.S. Key skills include SAP ERP data structures, Azure, data pipeline design, and full-stack engineering.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
May 15, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
Unknown
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#Azure #"ETL (Extract #Transform #Load)" #Data Modeling #AI (Artificial Intelligence) #Scala #Agile #Strategy #Data Pipeline #SAP #Forecasting
Role description
At Sparq, we help companies solve the right problemsβ€”not just build more technology. We’re a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI. From data ecosystems to digital products and AI acceleration, we turn complexity into clarity and ideas into impact. If you’re driven to build what’s next, lead with empathy, and deliver excellence without ego, you’ll feel right at home at Sparq. C2C is not available Must be authorized to work in the U.S. without sponsorship A Day In The Life β€’ Lead backend engineering for a complex financial platform, owning the analytics engine, financial forecasting pipelines, FPS integration, and rate table logic across a range of financial products β€’ Operate at the intersection of SAP data structures and Azure-hosted services, ensuring data flowing from client SAP environments through the ingest pipeline is correctly transformed, validated, and available for commercial analysis β€’ Apply deep knowledge of SAP ERP data models β€” including buyers, suppliers, invoices, receivables, and payment terms β€” to consume, validate, and transform SAP-sourced data from the plugin ingest layer β€’ Build and maintain scalable, audit-ready pipeline services within an Azure-native environment aligned to enterprise banking standards β€’ Develop full-stack across front-end and back-end concurrently, completing backend-heavy workstreams at pace within an agile pod structure β€’ Integrate with external financial systems and data sources, building reliable pipelines with structured error handling and full calculation traceability β€’ Design and implement portfolio management data structures and develop front-end dashboards that surface financial insights to end users β€’ Collaborate cross-team on shared data schemas, developing independently against agreed contracts to maintain velocity without creating inter-pod dependencies β€’ Participate in technical design reviews with peer delivery pods, contributing perspective on SAP integration points and shared platform components β€’ Serve as a senior technical contributor through integration and closing workflow phases, maintaining code quality and technical consistency as the platform converges toward go-live What It Takes β€’ Deep expertise in SAP ERP data structures and integration patterns, including buyers, suppliers, invoices, receivables, and payment terms β€’ Full-stack engineering depth with strong backend expertise in data analytics, financial calculations, and integration pipeline design β€’ Proven experience building scalable, audit-ready pipeline services in an Azure-native environment aligned to enterprise banking standards β€’ Ability to consume, validate, and transform SAP-sourced data through ingest pipelines for downstream commercial analysis β€’ Proven ability to integrate with external financial systems and build reliable data pipelines with structured error handling and calculation traceability β€’ Experience designing rate table and rules engines for complex financial products β€’ Ability to develop against agreed cross-team data schemas independently, without creating inter-pod dependencies β€’ Strong portfolio management data modeling skills and front-end dashboard development experience β€’ Flexibility to contribute across both front-end and back-end concurrently in a high-velocity agile pod environment β€’ Intellectual curiosity and drive to deliver technically complex solutions within a structured, milestone-driven engagement β€’ Desire to work collaboratively across delivery pods and participate actively in cross-team technical design reviews β€’ Good interpersonal, written, and verbal communication skills to engage effectively with technical and business stakeholders alike Regardless of your specific role, we seek individuals who are excited to explore, adopt, and evangelize AI tools and methodologies. If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you’ll fit right in. Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic. We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting recruiting@teamsparq.com