At Sparq, we help companies solve the right problems—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.
This is a fixed-term engagement.
A Day in the Life:
- Lead backend engineering for a complex financial platform, building and maintaining an analytics engine, financial forecasting pipelines, rate table logic, and rules engine design across a range of financial products
- Develop full-stack across front-end and back-end concurrently, leveraging Azure services to support scalable, cloud-native delivery within an agile pod structure
- Integrate with external financial systems and data sources, building reliable pipelines on Azure with structured error handling and full calculation traceability
- Design and implement portfolio management data structures and develop front-end dashboards that surface financial insights to end users
- Collaborate cross-team on shared data schemas, developing independently against agreed contracts to maintain velocity without creating inter-pod dependencies
- Leverage Azure infrastructure — including App Service, AKS, and data platform services — to ensure backend components are performant, secure, and production-ready
- Participate in technical design reviews with peer delivery pods, contributing architectural perspective on integration points and shared platform components
- Support structured document output and reporting capabilities, transforming financial data into consumable formats for business stakeholders
- 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:
- Full-stack engineering depth with strong backend expertise in data analytics, financial calculations, and integration pipeline design
- Hands-on experience with Azure services, including App Service, AKS, and cloud-native data platform tooling
- Proven ability to integrate with external financial systems and build reliable data pipelines with structured error handling and calculation traceability
- Experience designing rate table and rules engines for complex financial products
- Ability to develop against agreed cross-team data schemas independently, without creating inter-pod dependencies
- Strong portfolio management data modeling skills and front-end dashboard development experience
- Flexibility to contribute across both front-end and back-end concurrently in a high-velocity agile pod environment
- Intellectual curiosity and drive to deliver technically complex solutions within a structured, milestone-driven engagement
- Desire to work collaboratively across delivery pods and participate actively in cross-team technical design reviews
- Hunger for continuous learning and professional growth in enterprise financial technology
- 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
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