Engineering

Senior Engineer - Contractor

Kaygen IncJersey City, NJ🇺🇸United StatesPosted Sep 30, 2026

Why This Role Stands Out

This hybrid Senior Engineer role offers a fantastic opportunity to build and support enterprise-grade production systems using cutting-edge AI and cloud technologies, with excellent hourly compensation. You'll thrive here if you have strong Python, PySpark, and AWS expertise, and enjoy leveraging AI tools to accelerate development in a collaborative environment. Apply today to contribute to innovative projects with potential for extension!

Quick Overview

Salary

$50 - $70/hr

Seniority

Mid Senior

Work mode

Hybrid

Location

Jersey City, NJ, United States

Posted

1 week ago

Job Description

Title: Senior Engineer - Contractor
Duration: Through 1/15/27, potential extension
Location: Jersey City, NJ
Responsibilities:

We are seeking an experienced Senior Engineer with strong programming and cloud platform expertise.
Seeking an experienced Data Engineer or Application Engineer with hands on AI & LLMs to build and support enterprise-grade production systems.
Write efficient, maintainable code in Python, leveraging frameworks like PySpark for large-scale data processing.
Investigate and troubleshoot data pipelines, demonstrating a strong understanding of data structures and distributed processing.
Develop and optimize complex SQL queries; implement data warehousing concepts including Slowly Changing Dimensions (SCD Type 1 & Type 2).
Design, develop, and deploy scalable, reliable APIs on AWS (ECS).
Work extensively with core AWS services, including ECS, Lambda, SNS, and DynamoDB.
Build, test, and deploy applications via CI/CD pipelines to ensure automated delivery.
Utilize AI-powered developer tools (such as GitHub Copilot) to accelerate delivery and code quality.
Collaborate with cross-functional teams to troubleshoot and resolve cloud infrastructure and application performance issues.

Required Skills & Qualifications:

AWS Services: Hands-on experience with AWS ECS, Lambda, SNS, and DynamoDB.
Programming & Data: Proficient in Python with strong PySpark experience for data pipeline investigation and processing.
Databases & Modeling: Solid understanding of SQL, data modeling concepts, and SCD (Type 1 & Type 2).
API & Cloud Deployment: Proven experience building and deploying APIs on AWS / ECS.
DevOps: Working knowledge of CI/CD processes and pipelines.
AI Tooling: Experience using AI-assisted coding tools (GitHub Copilot, etc.).
Strong analytical, debugging, and problem-solving skills.
Data Engineering, Pyspark, Databricks, LLM, Python, Gen AI
The ideal candidate will have hands-on experience across core AWS services, a solid background in Python, PySpark, SQL, and data modeling, along with proficiency in leveraging AI development tools (e.g., GitHub Copilot) to enhance engineering productivity.

Rate: $50 - 70