About Data Society Group
At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. Our portfolio of brands and services sits at the intersection of people, data, and AI and consists of:
- CDO Magazine, the trusted voice of global data and AI leadership
- The Data Lodge, a pioneer in data literacy and cultural transformation
- Data Society, delivering applied AI education and custom-built solutions
- InspiredMinds!, a convening force behind the world’s most inclusive AI community
We are working to empower the workforces of the future; if you’re as passionate about transforming workplaces with the power of Data & AI as we are, we’d love to hear from you!
About the Role
The onshore Senior Back-End Engineer leads backend microservices architecture and build quality for the platform, directing a pod of offshore back-end engineers while remaining hands-on in service design, API contract ownership, and CI/CD pipeline governance. In this role, you will serve as the technical authority on all backend decisions, from Azure SQL cache schema design through write-path logic, Azure Service Bus patterns, and security compliance. You will work closely with the onshore Solution Architect, Integration Lead, and Sr. Front-End Engineer to ensure the backend layer is production-ready and validated every sprint.
While the center of gravity for this role is backend, we are looking for a full-stack engineer who is comfortable working across the stack - from API and data layer design through the React/typescript frontend that consumes them.
This role is work-from-home (remote) though must be able to commute to client offices in Falls Church, VA as needed (estimated every 2 weeks). This is a full-time W2 employment position with benefits. Please note that this role is tied to a client contract and is structured as an initial 9-month position. Opportunities for extension or long-term placement are highly likely based on client renewal and project performance.
Responsibilities
As the Senior Back-End Engineer, you will set architectural standards, oversee service layer quality, and guide offshore engineering efforts. Your core responsibilities include:
- Architecture & Leadership: Lead .backend microservices architecture, defining service boundaries, API contract standards, and write-path design patterns across all functional areas. Direct and oversee a pod of offshore back-end engineers by assigning work, conducting code reviews, and ensuring production-ready output.
- Database & API Layer Design: Design and own the Azure SQL transactional cache schema. Design and implement REST API endpoints exposed through Azure API Management (APIM), consumed by the React frontend.
- Integration & Business Logic: Implement write-path logic that routes commit actions (budget approvals, PO releases, change orders) through Azure Service Bus to OIC flows and back to the ERP. Enforce business logic, data validation, and error handling standards within the service layer.
- Pipeline Compliance & Security: Own CI/CD pipeline compliance for backend code, ensuring all commits pass Veracode SAST + SCA security scanning before merging.
- Demos & Client Handoff: Lead bi-weekly sprint demos for backend workstreams, ensuring all service layer work is demo-ready on schedule. Resolve and triage backend defects during SIT, UAT, and post-launch hypercare within agreed SLA windows. Conduct knowledge transfer to the client team ahead of the support handoff.
Required Skills & Experience
- 6–8 years of back-end development experience, with a strong proficiency in Python and TypeScript/Node.js.
- Fullstack engineer with a backend bent - able to contribute to a React/Typescript frontend when needed.
- Demonstrable experience leading or directing offshore back-end engineering teams.
- Strong experience designing and building REST APIs exposed through an API gateway (Azure APIM preferred).
- Proficiency with Azure SQL, schema design, query optimization, and working with a delta-refreshed transactional cache pattern.
- Experience with Azure Service Bus or similar async messaging infrastructure, including retry logic, dead-letter handling, and error queues.
- Solid understanding of microservices architecture and separation of concerns between API gateway, service layer, and data layer.
- Proficiency with Azure DevOps CI/CD pipelines and security-gated build processes (Veracode or similar SAST tools).
- Experience using AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) for pair programming, service design, architecture documentation, and code review (AI-assisted development is standard practice on this engagement).
- Strong verbal and written communication skills with the ability to lead sprint demos, run code reviews with offshore teams, and communicate technical decisions to non-technical stakeholders.
Preferred Qualifications
- Prior experience building enterprise financial or ERP applications.
- Experience integrating with Oracle Fusion Cloud or similar ERP platforms via REST/SOAP APIs.
- Familiarity with event-driven architecture patterns: Service Bus, event triggers, idempotency, retry/dead-letter handling.
- Azure-certified or demonstrable hands-on Azure cloud experience (AZ-204 Developer or AZ-305 Solutions Architect preferred).
Skills Required
- 6-8 years back-end development experience, with at least 4 years focused in .NET Core / C#.
- Demonstrable experience leading or directing offshore back-end engineering teams.
- Designing and building REST APIs exposed through an API gateway (Azure APIM preferred).
- Proficiency with Azure SQL, schema design, query optimization, and delta-refreshed transactional cache patterns.
- Experience with Azure Service Bus or similar async messaging infrastructure (retry logic, dead-letter handling, error queues).
- Solid understanding of microservices architecture and separation of concerns between API gateway, service layer, and data layer.
- Proficiency with Azure DevOps CI/CD pipelines and security-gated build processes (Veracode or similar SAST/SCA tools).
- Experience using AI coding assistants for development, design, and code review (examples: Claude Code, GitHub Copilot, Cursor).
- Strong verbal and written communication skills; ability to lead demos and communicate technical decisions to non-technical stakeholders.
- Prior experience building enterprise financial or ERP applications.
- Experience integrating with Oracle Fusion Cloud or similar ERP platforms via REST/SOAP APIs.
- Familiarity with event-driven architecture patterns: event triggers, idempotency, retry/dead-letter handling.
- Azure certification or demonstrable hands-on Azure cloud experience (AZ-204 or AZ-305 preferred).
What We Do
WHO WE ARE: Data Society provides industry-tailored, high-quality data science training and advisory services for corporations and government agencies with a desire to make data driven decisions. We believe that modern organizations need to be equipped to make data driven decisions that significantly amplify the effects of existing subject matter expertise. These skills result in increased efficiency and more accurate analyses for research and operations. In order for organizations to become more data driven, they must develop a common data vocabulary across leadership, analysts and generalists. They must also empower their managers and technical staff with appropriate data science skills. Data Society solves both of these needs through customized data science workshops and online learning that help organizations stay competitive and accomplish their missions. OUR VISION: We are passionate about increasing data literacy on a global scale so that organizations and their employees can be smarter about data. We've seen how data analysis can solve problems and provide insights that lead to better business and policy decisions. We are dedicated to giving others the tools to approach problems strategically and building a community in which we answer the question "How can data science change the world?". OUR SOLUTIONS: Our expert data scientists and engineers work alongside your teams to make more informed decisions, automate time-consuming manual processes, solve your most complex data challenges, and build data systems to ensure the enduring impact of your work. OUR TRAINING: We teach data science in an intuitive, engaging, and applicable way so that you can apply the methods you learn in class right back in the workplace. We provide training through a combination of in-person, virtual, and online instruction with supplemental coaching and support. We don't just provide data science courses - we create communities of professionals who think about data differently.
