Sr Software Engineer, Data Enablement
About The Position
Build the Future At McGraw Hill, we are dedicated to delivering digital learning experiences that transform education for learners and educators. Our focus is on creating seamless, impactful products that truly benefit our users while supporting growth and collaboration across teams. We foster a culture that values innovation, teamwork, and a balance between career growth and personal well-being. How can you make an impact? The Sr Software Engineer is a hands-on technical engineer who builds the bridge between the Data Engineering and the AI Platform application teams as they instrument global and product events — and serves as the technical consultant who ensures each app team's independent integration work aligns with Data Enablement standards. This role works directly in application codebases, writes schema extensions, debugs event emission issues in real time, and builds integration tooling and automation — while also advising app teams on schema design decisions, integration patterns, and platform conventions so that work done outside direct pairing sessions stays on track. This position is central to scaling Data Enablement across all application teams and plays a key role in accelerating cohort onboarding, enabling the program to deliver on its full multi-app integration roadmap. This is a remote position open to applicants authorized to work for any employer within the United States.
Requirements
- 5+ years of experience in software integration engineering, data platform integration, or hands-on technical delivery across distributed systems
- Strong proficiency writing and validating event schemas (JSON Schema, Avro, or Protobuf) — not just reviewing them, but authoring and iterating on them with application teams
- Hands-on experience instrumenting telemetry, logging, or analytics events directly in application codebases (Python, Node.js, Go, or equivalent)
- Proficiency in SQL and data architecture, including query optimization, data modeling and designing scable, well-structured data systems.
- Expereience designing and integrating RESTful API’s, incudling endpoint design, authentication patters, and consuming or exposing API’s across distributed systems.
- Demonstrated ability to work concurrently across multiple application codebases (4–5 simultaneous app engagements expected) while maintaining quality and context-switching effectively
- Proficiency with Python SDKs — able to write integration code, build diagnostic scripts, and extend developer enablement tooling
- Strong communication and consulting skills — able to explain platform standards and integration patterns to app teams with varying levels of data engineering maturity, and to influence technical decisions without direct authority
- Strong written communication skills for producing runbooks and migration guides rooted in direct implementation experience
Nice To Haves
- Experience building integration automation: schema linting tools, conformance validators, or self-service onboarding pipelines
- Experience with medallion architecture (bronze/silver/gold) data platforms
- Familiarity with Databricks, Azure cloud services, or similar data infrastructure
- Prior work in EdTech, AI/ML platforms, or multi-product SaaS environments
- Experience writing and executing schema migration scripts with backward-compatibility validation
- Track record of coaching or enabling distributed teams to adopt platform standards independently
Responsibilities
- Write custom event schema extensions for each application across three prioritized cohort groups, translating app reporting requirements directly into schema definitions and data contracts
- Code alongside application teams during event emission integration — provide hands-on SDK implementation support, pair-program through instrumentation challenges, and directly debug emission issues in application environments
- Consult with application teams on schema design decisions, event naming conventions, and integration patterns — review app-team-authored schemas and implementation plans to ensure alignment with the canonical event spec and Data Enablement standards before work proceeds
- Provide technical guidance during app team sprint planning and design sessions to prevent misalignment early, reducing rework during validation cycles
- Build and maintain integration tooling and automation: validation scripts, schema linting tools, and diagnostic utilities that accelerate per-app onboarding and reduce manual troubleshooting cycles
- Author integration runbooks, troubleshooting guides, and go-live readiness checklists grounded in first-hand implementation experience with each application
- Execute schema upgrade migrations hands-on across all three application groups, writing migration scripts, running backward-compatibility checks, and managing per-app migration instances
- Validate event conformance against the canonical event schema by running integration tests, inspecting pipeline output, and certifying each application based on direct technical evidence
- Advise app teams on self-service integration practices — coach teams toward independent schema extension and event emission capability so that later cohorts require less direct hands-on involvement
- Diagnose and resolve non-standard integration patterns directly; escalate to the Platform Architect only when patterns require architectural changes to the platform itself
Benefits
- annual bonus plan
- full range of medical and/or other benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
