Data Conversion Software Engineer

Career Team • Denver, CO

1d • $60,000 - $100,000

About The Position

Career TEAM is a leading workforce development organization on a mission to transform lives. We blend cutting-edge technology with compassionate, high-touch services to drive real, measurable outcomes in the lives of job seekers across the country. At Career TEAM, we’re solving today’s unemployment challenges with smart software, world-class trainers, dedicated case managers, dynamic job developers, and innovative partners. If you're passionate about making a difference and believe in the power of technology to transform lives, you’ll feel right at home here. It’s not just about the tech; it’s about the people. At Career TEAM, we work to accelerate the human condition. Through our Career EDGE platform, we build enterprise software that changes lives across the United States—and that’s just the beginning. As a Data Conversion Software Engineer , you’ll help design, build, and maintain systems that transform and integrate data across platforms supporting government-funded workforce development programs nationwide. You’ll work with modern web technologies in a collaborative, Agile environment and contribute to software that has real-world social impact. Specifically, What You Will Do You will build and support robust data ingestion and conversion solutions using MongoDB, Node.js, Nest.js, and Next.js. On any given day, you’ll be designing, building, and maintaining pipelines that transform structured, semi-structured, and unstructured data—such as documents, PDFs, images, and flat files—into normalized, usable data models. Your work will include developing applications and RESTful services that power data ingestion, validation, and transformation, as well as implementing OCR and document-processing solutions to extract text and metadata from document-heavy datasets. You’ll collaborate closely with engineers, analysts, and product partners to define conversion logic, troubleshoot data quality issues, and continuously improve accuracy, performance, scalability, security, and maintainability. As part of an Agile team, you’ll participate in regular Scrum ceremonies and have meaningful opportunities to innovate and make a real impact on the software we build.

Requirements

• Bachelor’s degree in Computer Science, IT, Engineering, or equivalent practical experience
• Proficiency with JavaScript or TypeScript and backend development using Node.js
• Experience building APIs and services using modern frameworks (e.g., Nest.js, Express)
• Experience transforming and ingesting data into MongoDB or other NoSQL databases
• Experience working with document-heavy and unstructured data, including OCR or image-based text extraction
• Familiarity with frontend frameworks such as React, Next.js, or Angular
• Experience designing data ingestion or ETL-style pipelines
• Understanding of RESTful services and data formats such as JSON and XML
• Familiarity with Docker, CI/CD pipelines, and cloud-based environments
• Strong analytical, problem-solving, and collaborative communication skills

Responsibilities

• build and support robust data ingestion and conversion solutions using MongoDB, Node.js, Nest.js, and Next.js
• designing, building, and maintaining pipelines that transform structured, semi-structured, and unstructured data—such as documents, PDFs, images, and flat files—into normalized, usable data models
• developing applications and RESTful services that power data ingestion, validation, and transformation
• implementing OCR and document-processing solutions to extract text and metadata from document-heavy datasets
• collaborate closely with engineers, analysts, and product partners to define conversion logic, troubleshoot data quality issues, and continuously improve accuracy, performance, scalability, security, and maintainability
• participate in regular Scrum ceremonies and have meaningful opportunities to innovate and make a real impact on the software we build

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level