Lead AWS Data Engineer
Manpower
East Hanover, NJ, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$114,400.0
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Amazon S3
Apache HTTP Server
Code Review
Computer Programming
Continuous Integration
Information Engineering
Data Governance
Data Infrastructure
Extract Transform Load (ETL)
Github
Python (Programming Language)
+18 more
Cloud Services
Shell Script
SQL Databases
AWS Cdk
Real Time Systems
Data Ingestion
Delivery Pipeline
AWS Lambda
Cloudformation
Data Lakes
Pyspark
Deployment Automation
AWS Glue
AWS Data Analytics
Cloudwatch
Terraform
Jenkins
Amazon Redshift
Job description
Our client is seeking a Lead AWS Data Engineer to join their team. As a Lead AWS Data Engineer, you will be part of the Engineering organization supporting Data Platform delivery., * Lead architecture design and implementation of scalable AWS-based, cloud-native data platforms.
- Provide technical direction and mentorship to engineering teams, including engineering standards, coding best practices, and CI/CD processes.
- Drive design reviews, code reviews, and architecture governance to ensure high-quality, reliable solutions.
- Design and develop data ingestion, transformation, and orchestration pipelines using AWS services (including AWS Glue, AWS Lambda, and AWS Step Functions).
- Architect secure, highly available, scalable, and cost-efficient data lake solutions using Apache Iceberg on Amazon S3, supporting large-scale batch and near real-time processing.
Requirements
- Strong hands-on expertise with AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Amazon Athena, and Amazon Redshift.
- Proven experience building enterprise data lakes with Apache Iceberg, including partitioning strategies, schema evolution, compaction, and time travel concepts.
- Expertise in ETL/ELT frameworks and modern data engineering practices, including data quality governance and security compliance.
- Strong programming skills in Python (PySpark preferred), along with SQL and shell scripting.
- Experience with DevOps automation and CI/CD using Infrastructure as Code (Terraform, CloudFormation, or AWS CDK) and deployment tooling (GitHub Actions, Jenkins, or AWS CodePipeline), plus monitoring with CloudWatch.
Benefits & conditions
- Opportunity to lead enterprise-scale AWS data platform architecture and delivery.
- Work on modern, cloud-native data lake solutions using Apache Iceberg and serverless orchestration.
- Collaborate with product, architecture, and business stakeholders to translate requirements into scalable technology.
- Contribute to engineering governance through design reviews, code reviews, and best-practice standards.
- Build and improve operational excellence through monitoring, automation, and reliable deployment pipelines.
Upon completion of waiting period consultants are eligible for:
- Medical and Prescription Drug Plans
- Dental Plan
- Vision Plan
- Health Savings Account
- Health Flexible Spending Account
- Dependent Care Flexible Spending Account
- Supplemental Life Insurance
- Short Term and Long Term Disability Insurance
- Business Travel Insurance
- 401(k), Plus Match
- Weekly Pay
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