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$49K

$91.9K

$140.5K

How much do json jobs pay per year?

As of Aug 16, 2026, the average yearly pay for json in the United States is $91,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $108,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working with json data in software development roles?

Professionals working with JSON data often encounter challenges such as handling deeply nested structures, managing data validation and schema evolution, and ensuring efficient parsing and serialization. Integrating JSON with various programming languages and APIs can also introduce compatibility issues, especially when dealing with large datasets or inconsistent data formats. Collaborating with cross-functional teams, such as backend developers and data analysts, is crucial to ensure data consistency and streamline communication across systems.

What is a json?

A JSON job typically refers to working with JSON (JavaScript Object Notation) data in software development, data exchange, or API integration. Professionals in this role may parse, generate, or manipulate JSON data for web applications, databases, or configuration files. Common positions involving JSON include backend developers, data engineers, and API specialists. Understanding JSON is essential for working with RESTful APIs and modern web technologies.

What are the key skills and qualifications needed to thrive as a json developer?

To thrive as a JSON Developer, you need strong proficiency in JavaScript, data modeling, and experience working with APIs and data interchange formats. Familiarity with tools like Postman, RESTful API platforms, and databases that store or utilize JSON (such as MongoDB) is essential. Attention to detail, analytical thinking, and clear communication help ensure accurate data handling and effective collaboration with development teams. These skills are vital for building reliable software systems that depend on efficient data exchange and integration.

What is the difference between Json vs Data Analyst?

AspectJsonData Analyst
Required CredentialsNone specific, often basic programming knowledgeBachelor's degree in data science, statistics, or related field
Work EnvironmentPrimarily software development, data interchange tasksData analysis, reporting, and visualization in various industries
Industry UsageUsed in software, web development, data exchangeUsed across finance, marketing, healthcare, and more
Common Search/ComparisonYesYes

Json is a data format used for data interchange, requiring minimal technical skills. Data Analysts interpret data, generate reports, and often use Json to handle data. While Json is a technical tool, Data Analysts focus on deriving insights from data sets. Both roles are essential in data-driven industries, but they serve different functions: Json as a format and Data Analysts as interpreters of data.

More about JSON jobs

What cities are hiring for Json jobs?

Cities with the most Json job openings:

What states have the most Json jobs?

States with the most job openings for Json jobs include:

What job categories do people searching Json jobs look for?

The top searched job categories for Json jobs are:

JSON jobs near you
Infographic showing various Json job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $91,942 per year, or $44.2 per hour.

Senior Integration & Composition Engineer (JQ, JSON and Golang)

Saransh Inc

Englewood, CO • On-site

Contractor

Re-posted 27 days ago

Job description

Role: Senior Integration & Composition Engineer
Location: Denver/Englewood, CO (or) West Chester, PA (Hybrid - 3 days a week onsite)
Job Type: Contract
 
Mandatory Areas:
Must have Skills:
  • 7 years of Exp – ·JQ, GO
  • 7 years of Exp – OOPS, Python,
  • 5 years of Exp Scripting, AWS, REST API, Payments

Mandatory Skills:
JQ, Go Template, REST API, JSON
Preferred Skills (Preferred Experience):
Python, GO Language, Java, CI/CD
Job Description:
  • Senior Integration & Composition Engineer to design and implement dynamic payload transformations and configuration compositions to integrate multiple systems reliably and efficiently.
  • This role focuses on payload composition, transformation, and system integration across internal systems and external partners.
  • The engineer will use JQ and Go templates to implement dynamic request/response mappings, configuration-driven workflows, and environment-specific integrations while ensuring scalability, resiliency, and compliance.
     
Key Responsibilities:
  • Design and implement integration compositions across APIs, services, and platforms
  • Transform, filter, and enrich JSON payloads using JQ
  • Build reusable and parameterized templates using Go templating
  • Compose requests/responses for downstream systems based on business rules
  • Support system-to-system integration, orchestration, and data mapping
  • Troubleshoot integration issues related to payload structure and transformations
  • Collaborate with platform, API, and DevOps teams to ensure seamless deployments
  • Maintain versioned, reusable templates and transformation logic
  • Build Go template–driven configurations to support reusable, parameterized integrations across environments (DEV, QA, UAT, PROD)
  • Integrate 3rd party platforms with upstream channels and downstream providers
 
Required Skills & Experience:
  • Hands-on expertise with JQ for JSON filtering, mapping, aggregation, conditionals
  • Strong proficiency with Go templating, including conditionals, loops, and reusable templates (Helm-style experience is a plus) & payload generation
  • Integration & APIs - Experience integrating REST-based payment APIs and event-driven flows. REST APIs, JSON, HTTP, API gateways, middleware, or integration platforms
  • Experience in programming and scripting languages such as GO/Java/Python
  • Understanding of payment failure scenarios, declines, and reconciliation impacts
  • Experience supporting high-throughput, low-latency transaction systems
  • Knowledge in DevOps such as Kubernetes, Helm, CI/CD Pipeline
  • Familiarity with orchestration frameworks
Preferred / Nice-to-Have:
  • Prior experience with payment platforms and end-to-end payment lifecycles
  • Knowledge of alternative payment methods, recurring billing, and subscription models
  • Exposure to cloud-native deployments, CI/CD pipelines, and Kubernetes-based platforms