AI Accelerated Integration Engineer

TechDigital Group; Atlanta (GA); On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Health insurance

Job summary

TechDigital Group is seeking a data/software engineer to build production-grade data pipelines in Python and develop scalable AWS Lambda REST APIs. You will work on event-driven architectures and leverage AI tools to accelerate coding, testing, and documentation.

Join a fast-moving team delivering high-impact software in accelerated timelines. The role emphasizes modern data frameworks, integration patterns, and reliable message delivery within AWS services, with a focus on rapid delivery and

Qualifications

• 3–6 years of software or data engineering experience.
• Expert-level Python with Pandas and PySpark for data manipulation.
• Strong AWS knowledge: Kinesis, Lambda, SQS, EventBridge, API Gateway.
• Experience using AI tools to accelerate coding, testing, and documentation tasks.

Responsibilities

• Design and optimize data ingestion and transformation pipelines in Python.
• Develop, deploy, and maintain serverless REST APIs on AWS and event-driven architectures.
• Leverage AI tools to rapidly write clean code, generate tests, and produce documentation.
• Support high-velocity development cycles and ship high-impact features in hours.
• Integrate AWS services with core data platforms to ensure reliable messaging and state management.

Skills

Python

AWS Lambda

REST APIs

Pandas

PySpark

Databricks

AI tooling

Tools

Databricks

PySpark

Job description

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 optimize 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.