AI-Driven Data Integration Engineer (Python + AWS Lambda)

TechDigital Group

Atlanta (GA)

On-site

USD 110,000 - 165,000

Full time

3 days ago
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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

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

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