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Carter's
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- $18.25 to $22.25 USD / hour
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- $44.9 to $89.9 USD / hour
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Washington, DC
- $76,800 to $122,900 USD / year
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Washington, DC
- $97,800 to $209,500 USD / year
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Cognizant
Washington, DC
- $62,000 to $99,000 USD / year
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IG
Jr Data Engineer
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Charlotte, NC
- From $56 USD / hour
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Insight Global

Jr Data Engineer

Charlotte, NC, United States

From $56 USD / hour

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Job details

Pay: From $56 USD / hour
Posting language: English
Posted: Nov 7, 2026

Original job description

Required Skills & Experience

5+ years of hands-on data engineering experience
3+ years of hands-on AWS experience
Strong understanding of cloud architecture and concepts
Hands-on experience with AWS Glue, S3, Athena, and Redshift.
Experience with APIs and Model Context Protocols (MCPs)
Python development experience and using Pyspark
SQL skills
Apache Kafka experience
Experience building end-to-end data pipelines
Strong knowledge of data domains, data modeling, and data analysis
Experience designing data ingestion, transformation, and delivery workflows
Ability to clearly explain technical decisions through prior project examples

Nice to Have Skills & Experience

Exposure to GenAI solutions using AWS Bedrock, LLMs, tool calling, and agent-based architectures.
Experience with Claude or Codex and prompt engineering
Experience working with large language models (LLMs)
Experience with Java-based REST APIs, preferably using Spring Boot.
FastAPI experience
Experience with data warehouse architecture
Financial services industry experience
AWS Step Functions
Lambda
Lake Formation
IAM
CloudWatch
Docker
Git/Jenkins
RAG
AI agent development

Job Description

Insight Global is seeking a Data Engineer for a top financial services client. This individual contributor will help build scalable AI-enabled services that connect enterprise data with large language models. The position is approximately 60% MCP and API development and 40% data engineering, with responsibility for developing Model Context Protocol solutions, APIs, prompts, and cloud-based data pipelines. The ideal candidate combines strong Python, SQL, AWS, Kafka, and data-modeling experience with hands-on knowledge of API development, LLM integration, and prompt engineering. This is an excellent opportunity for an engineer who enjoys owning solutions across data ingestion, transformation, AI integration, and downstream delivery.

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More about this job

Skills

Data engineering
AWS
Amazon Redshift
Python
PySpark
SQL
Apache Kafka
Data modelling
Data analysis
Oracle Java
API development
Spring Boot
Data warehouse
Identity and access management
Docker
Git
Jenkins

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