AWS/ DATA Engineer

JBS
Coral Springs, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Coral Springs, United States of America

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Information Engineering
ETL
Data Warehousing
Web Applications
Retrieval-Augmented Generation
Large Language Models
Indexer
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Virtual Agents
Cloudwatch
Data Pipelines

Job description

  • Design and operate data pipelines on AWS - Glue, Step Functions, Lambda, EventBridge, S3 - feeding the Redshift data warehouse.
  • Stand up and operate containerized production pipelines on AWS Fargate / ECS (scheduled ingest or scrape, enrich, deliver) with CloudWatch alarms and health monitoring.
  • Design dimensional data models - facts, conformed dimensions, and analytics marts - on Redshift over a zero-ETL replica of the operational source.
  • Implement document-extraction pipelines using Amazon Bedrock Data Automation blueprints and deliver structured output to downstream consumers via webhook or queue.
  • Build and operate Bedrock Knowledge Bases for retrieval-augmented generation: source preparation, indexing, retrieval evaluation, and cost / latency tuning.
  • Build agents using the Strands Agents SDK on Bedrock AgentCore - supervisor / sub-agent topologies, tool definitions, and deployment hardening.
  • Build applied-LLM data products for reporting, search, and agentic operations.
  • Deploy and operate services on AWS end to end, including internal web apps and demos.
  • Build internal tooling and integrations, including MCP servers.

Requirements

  • AWS (Glue, Lambda, Redshift, S3, ECS/Fargate)
  • Python & SQL Development
  • Amazon Bedrock / GenAI Solutions
  • Data Engineering & Data Warehousing
  • Agentic AI / LLM Framework

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