AI Accelerated Integration Engineer

Rate: $50/hr

Role is onsite Atlanta, GA 30316

Mandatory skills:

1.Python

2.AWS Lambda

3.REST API s

Role Overview

Build production-grade data pipelines using Python.

Develop scalable AWS Lambda REST APIs using Python.

Deliver high-impact software in hours instead of days using AI tools.

Daily Responsibilities

Design, build, and Eligible to workimize data ingestion and transformation pipelines using modern Python data frameworks.

Develop, deploy, and maintain serverless REST APIs and event-driven architectures on AWS.

Leverage AI development assistants to rapidly write clean code, generate comprehensive test suites, and produce technical documentation.

Participate in a high-velocity development life cycle, shifting from traditional multi-day delivery timelines to shipping high-impact products in hours.

Integrate serverless AWS services with core data platforms to ensure reliable message delivery and state management.

Requirements

Experience: 3 to 6 years of software or data engineering background.

Data Engineering & Frameworks: Expert-level Python skills with hands-on experience using data frameworks such as Pandas and PySpark for data manipulation and processing.

Core Skills: Advanced Python programming, data handling, and enterprise integration concepts/patterns.

AWS Services: Deep operational knowledge of AWS integration offerings, specifically Kinesis, Lambda, SQS, EventBridge (Events), and API Gateway.

Databricks: Familiarity with the Databricks platform is a plus, but not mandatory.

AI Tooling: Super savvy at utilizing AI tools to accelerate coding, testing, and documentation tasks.