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AWS Data Engineer

K-Tek Resourcing LLCNewark, NJ🇺🇸United StatesPosted 23 Jul 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

 Note

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  • Only candidates willing to work on a Full-Time (FTE) basis will be considered.
  • Minimum 8+ years of relevant IT experience is required.
  • 3–4 years of Insurance domain experience is highly preferred.
 
 
 

 

Senior AWS Data Engineer / Senior Cloud Engineer

📍 Location: Newark, NJ (Hybrid – 3 Days Onsite)
📅 Duration: Long-Term(FTE)
🏢 Client: Global Insurance Company (Life Insurance Preferred)

Job Overview

We are looking for a Senior AWS Data Engineer / Senior Cloud Engineer to join the Global Technology team supporting a major Insurance client. You will work within the CDO Enterprise Data Platform (EDP) team to design, build, and optimize scalable AWS-based data platforms and ETL solutions supporting mission-critical applications.

The ideal candidate has 8+ years of IT experience, including 5+ years of hands-on AWS Data Engineering experience, with strong expertise in cloud-native data services, ETL development, infrastructure automation, and Python.


Required Skills

AWS & Cloud

  • AWS (S3, EC2, Glue, EMR, Lambda, RDS, DynamoDB)
  • IAM, KMS, VPC, CloudWatch
  • AWS Data Engineering

Data Engineering

  • ETL Pipeline Development
  • Apache Spark
  • AWS Glue
  • EMR / Hadoop
  • SQL Optimization
  • Data Warehousing
  • Distributed Computing

Programming

  • Python (Required)
  • Node.js
  • Bash
  • PowerShell

DevOps & Infrastructure

  • Terraform or CloudFormation
  • Docker
  • ECS/EKS
  • Jenkins / AWS CodePipeline
  • Git
  • Linux

Monitoring

  • Splunk
  • ELK Stack
  • Prometheus
  • Grafana

Responsibilities

  • Design and develop scalable AWS data platforms and ETL pipelines.
  • Build cloud-native data processing applications using AWS services.
  • Optimize data workflows and troubleshoot production issues.
  • Develop Infrastructure as Code using Terraform or CloudFormation.
  • Build CI/CD pipelines for data applications.
  • Develop production-grade Python applications.
  • Implement secure AWS architectures using IAM, KMS, and VPC.
  • Monitor and optimize application and data pipeline performance.
  • Collaborate with global development teams in an Agile environment.
  • Participate in architecture discussions and continuous improvements.

Required Qualifications

  • 8+ years of overall IT experience.
  • 5+ years of AWS Data Engineering experience.
  • Strong Python development experience.
  • Expertise with Spark, Glue, EMR, ETL, and SQL.
  • Hands-on experience with Terraform or CloudFormation.
  • Experience with Docker and containerized workloads (ECS/EKS).
  • Strong understanding of AWS networking and security.
  • Experience with Git, Jenkins, and Linux.
  • Excellent communication and problem-solving skills.

Preferred Qualifications

  • Life Insurance domain experience (preferred but not mandatory).
  • Application development experience.
  • Team leadership or mentoring experience.
  • Experience working in global Agile teams.

Work Model

  • Location: Newark, NJ
  • Hybrid: 3 days onsite per week
  • Duration: Long-Term

Must-Have Skills

  • AWS
  • Python
  • ETL
  • Spark
  • AWS Glue
  • EMR
  • SQL
  • Terraform/CloudFormation
  • Docker
  • Jenkins
  • Git
  • Linux
  • IAM
  • S3
  • Lambda
  • RDS
  • DynamoDB
  • CloudWatch

Skills

Docker
DynamoDB
Node.js
SQL
AWS
ELK
ETL
Splunk
Agile
Apache
Apache Spark
Bash
CloudFormation
Data Pipeline
GPT
Git
Grafana
Hadoop
Jenkins
PowerShell
Prometheus
Python
SAFe
Terraform

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