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AI Accelerated Integration Engineer

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Python, AWS, Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 110000 - 165000 USD Yearly USD 110000.00 165000.00 YEAR
Job Description & How to Apply Below
Mandatory skills
  • Python
  • AWS Lambda
  • 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, Event Bridge (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.
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