adminPay: $40 – $42/hour
Job Type: Contract (Full-time or Part-time)
Location: Remote
If you’re the kind of backend professional who can look at a dense, messy document and instantly start mapping structure, hierarchy, and logic, this role should feel like home.
A customer team is currently hiring a Backend Engineer (JSON Schema Developer) to help convert highly complex raw documents into clean, structured, and production-ready data models. This is a contract opportunity for someone who excels in data modeling, schema design, and JSON extraction architecture—particularly when working from ambiguous or unstructured source material.
Rather than maintaining standard backend services, this role sits at the intersection of data architecture, document intelligence, and schema engineering. It is ideal for someone who can translate complexity into order with precision.
About the Role
As a Backend Engineer (JSON Schema Developer), you will play a critical role in turning large, detail-heavy PDF documents into structured, actionable JSON schemas that can support reliable extraction, validation, and downstream system integration.
You’ll be expected to assess complicated documents—sometimes running from 25 to 150 pages—and determine how best to model the data they contain. This includes identifying meaningful fields, designing nested structures, defining relationships, and embedding the validation logic needed to make the schema durable and scalable.
This is not a template-driven position. It calls for a builder who can start from a blank page and design schemas that are both technically rigorous and operationally practical.
Key Responsibilities
In this role, you will be entrusted with building schema systems that are accurate, maintainable, and integration-ready.
Your core responsibilities will include:
- Reviewing and analyzing complex PDF documents (typically 25–150 pages) to identify key data points and structure requirements
- Designing comprehensive JSON extraction schemas from scratch, including field hierarchies, nested objects, arrays, and recurring data patterns
- Determining the most effective field extraction strategy, including correct data types, naming conventions, and logical organization
- Embedding field-level validation logic directly into schemas, such as:
- Sum or total requirements
- Null-checking logic
- Type validation
- Conditional constraints
- Defining and documenting API contracts to support smooth system integration and consistent data exchange
- Working closely with cross-functional stakeholders to clarify ambiguous requirements and refine schema decisions
- Producing clear field-level documentation, including:
- Field descriptions
- Required vs. optional designations
- Typing rationale
- Maintainability notes
- Promoting strong data architecture best practices, with a focus on consistency, reusability, scalability, and long-term schema health
Required Skills and Qualifications
This role is built for someone with deep technical fluency in structured data design and the confidence to make sound architectural decisions independently.
Candidates should have:
- Proven experience in data modeling, database design, and schema development, ideally with hands-on work in JSON Schema
- Advanced ability to design deeply nested JSON structures from scratch without relying on predefined templates
- Strong architectural judgment when translating unstructured or semi-structured documents into clean information models
- Demonstrated expertise in:
- Field typing
- Validation rules
- Logical expressions
- Schema constraints
- A strong grasp of required vs. optional fields, schema readability, and maintainable field documentation practices
- Excellent written and verbal communication skills, especially when explaining complex technical design decisions to stakeholders
- A track record of working independently in remote or distributed environments
Preferred Qualifications
While not mandatory, the following experience would make a candidate especially compelling:
- Experience defining API contracts and supporting integration-heavy workflows
- Background in extracting structured data from highly variable, inconsistent, or document-heavy source formats
- Familiarity with broader data architecture principles and scalable information modeling in fast-paced teams
- Prior work in environments where schema quality directly impacts automation, parsing, or system interoperability
How to Apply
If you are interested in this role Apply Now
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