AWS Lead Data Engineer Jobs in Malvern, PA | Onsite | Contract |

By Dice USA Job Portal

Published On:

Join WhatsApp

Join Now

Join Telegram

Join Now

AWS Lead Data Engineer Jobs in Malvern, PA | Onsite | Contract | 15+ Years Experience

Immediate Hiring – AWS Lead Data Engineer | Direct Client | Malvern, PA

AWS Lead Data Engineer Jobs in Malvern, PA We are hiring an experienced AWS Lead Data Engineer for a Direct Client contract opportunity in Malvern, Pennsylvania. This position is ideal for senior data engineering professionals with 15+ years of overall IT experience and extensive expertise in AWS cloud technologies, big data platforms, ETL pipelines, and enterprise data architecture.

This is a 100% onsite role, and only local candidates in Pennsylvania will be considered.


Job Details

Job Title: AWS Lead Data Engineer

Location: Malvern, PA (Onsite)

Employment Type: Contract

Client: Direct Client

Experience Required: 15+ Years

Rate: Up to $80/hour

AWS Lead Data Engineer
AWS Lead Data Engineer

Job Summary

AWS Lead Data Engineer Jobs in Malvern, PA We are seeking a highly skilled AWS Lead Data Engineer to lead the design, development, and optimization of enterprise-scale cloud data platforms. The ideal candidate will have extensive experience building scalable data pipelines, modern data lakes, and cloud-native analytics solutions using AWS services.

You will collaborate with architects, business stakeholders, data scientists, and engineering teams to deliver reliable, secure, and high-performance data solutions while mentoring developers and leading technical initiatives.


Key Responsibilities

  • Design and develop enterprise data engineering solutions on AWS.
  • Build scalable ETL and ELT pipelines for structured and unstructured data.
  • Develop modern data lake and data warehouse architectures.
  • Implement event-driven data processing solutions.
  • Lead technical design discussions and mentor engineering teams.
  • Optimize cloud infrastructure for performance, scalability, and cost efficiency.
  • Develop reusable frameworks and automation processes.
  • Collaborate with DevOps teams to implement CI/CD pipelines.
  • Ensure security, governance, and compliance across cloud platforms.
  • Monitor production systems and troubleshoot complex technical issues.

Required Skills

The ideal candidate should have strong hands-on experience with:

Programming & Data Engineering

  • AWS Cloud Services
  • Python
  • Java
  • PySpark
  • Apache Spark
  • SQL
  • Data Engineering
  • ETL Development
  • Data Lake
  • Data Warehouse

AWS Services

  • Amazon S3
  • AWS Glue
  • Amazon EMR
  • AWS Lambda
  • Amazon Redshift
  • Amazon Athena
  • AWS Step Functions
  • Amazon DynamoDB
  • Amazon Kinesis
  • Amazon MSK (Managed Kafka)
  • CloudWatch
  • IAM
  • AWS KMS

DevOps & Infrastructure

  • Terraform
  • AWS CloudFormation
  • Git
  • CI/CD Pipelines
  • Apache Airflow

Additional Skills

  • Event-Driven Architecture
  • Kafka
  • Technical Leadership
  • Performance Optimization
  • Enterprise Data Architecture

Preferred Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
  • 15+ years of overall IT experience.
  • Proven experience leading enterprise cloud data engineering projects.
  • Strong communication and leadership skills.
  • Experience working in Agile/Scrum environments.

Why Join This Opportunity?

This is an excellent opportunity to work directly with a leading client on enterprise-scale cloud transformation initiatives. You will work with modern AWS technologies, large-scale data platforms, and advanced analytics solutions while leading a highly skilled engineering team.

Benefits of this Opportunity

  • Direct Client Project
  • Competitive Rate (Up to $80/hour)
  • Enterprise AWS Environment
  • Leadership Opportunity
  • Long-Term Contract Potential
  • Exposure to Modern Cloud Technologies

Location Requirement

This role requires candidates to work onsite in Malvern, Pennsylvania. Only local Pennsylvania candidates will be considered.


How to Apply

If you have strong experience in AWS Data Engineering, Python, Spark, ETL, and enterprise cloud architecture, we’d love to hear from you.

📩 Please send your updated resume to:

rajesh.p@niktorinc.com


 

Leave a Comment