Data Engineer, Python, React

Job not on LinkedIn

🕒 June 11

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

GTS Technology Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1984

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

GTS Technology Solutions is an IT consulting company specializing in helping businesses leverage technology to achieve their goals. Their team of experts provides a wide array of services, including IT strategy consulting, software development, data analytics, cloud solutions, and digital transformation. They focus on utilizing advanced technologies such as machine learning and AI to help clients optimize operations, drive growth, and enhance productivity in the digital age.

📋 Description

• Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend) • Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows • Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets • Work with healthcare data systems including EHR integrations and healthcare interoperability platforms • Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams • Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable) • Design and optimize data models, warehouses, and data processing workflows • Translate healthcare operational and reporting requirements into scalable data solutions • Ensure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments) • Monitor, debug, optimize, and maintain production data systems and applications • Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers

🎯 Requirements

• Strong hands-on experience with Python for data engineering and backend development • Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.) • Basic to strong experience with React.js frontend development • Experience building scalable ETL/ELT pipelines and production-grade data applications • Strong understanding of REST APIs and system integrations • Experience working with relational and/or NoSQL databases • Experience with data warehousing, data modeling, and large-scale data processing • Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred) • Bachelor's degree in Computer Science, Engineering, or equivalent experience • Ability to work in ambiguous, real-world problem spaces • Strong communication skills with technical and non-technical stakeholders.