Remote Full-Stack Data Engineer (Java/Python/ETL)

Wyetech, LLC; United States; Hybrid; USD 94,000 - 127,000; Full time

Benefits offered by this job

SEP IRA contribution 20%

PTO up to 200 hours

Medical, Vision, Dental

Life and AD&D

Disability insurance

Employee Referral Bonus up to $10k

Mobility among Wyetech contracts

Team events

Branding clothing

Job summary

Wyetech, LLC seeks an experienced Software Developer for full-stack Java development in support of the DTS TTO. You will build the middle tier to backend data storage, and provide ETL development support for large data sets.

You will work in an Agile environment with Docker, Kubernetes, Jenkins, and Git/GitLab. The role emphasizes secure design, scalable architectures, and collaboration with cross-functional teams.

Qualifications

• 7+ years software engineering experience in similar scope and complexity.
• Bachelor’s degree in Computer Science or related discipline.
• Experience with secure full-stack solutions and large data sets.
• Experience with micro-services and ETL in a federal contract context.

Responsibilities

• Develop full-stack Java software supporting Data Transformation Solutions.
• Design, develop, and deploy middle-tier to backend storage with ETL support.
• Contribute to innovative projects using cutting-edge technologies.
• Review and test software components for design requirements and performance.
• Collaborate with team leads and stakeholders on system design and data flows.

Skills

Java

JavaScript

Python

Agile methodologies

Auth/security integration

Microservices

Caching

ETL development

Docker

Kubernetes

Jenkins

GitHub/GitLab

Jira/Confluence

Education

Bachelor’s degree in Computer Science or related discipline

Tools

PostgreSQL

NoSQL

Vue

MinIO

ClickHouse

Graphite

AWS

Go/C/C++

Job description

Wyetech, LLC seeks an experienced Software Developer for full-stack Java development in support of the DTS TTO. You will build the middle tier to backend data storage, and provide ETL development support for large data sets.

You will work in an Agile environment with Docker, Kubernetes, Jenkins, and Git/GitLab. The role emphasizes secure design, scalable architectures, and collaboration with cross-functional teams.