Data Engineer

Job Description

Job Description

AWS Data Engineer

Location: Charlotte, NC (Onsite Tuesday & Wednesday)

Duration: 18-Month Contract

Openings: 3 Total (1 must be based in/near Charlotte, NC; 2 open to relocation)

Compensation

• Up to $64/hour on W2
• 18-month contract engagement with a leading financial services organization

About the Opportunity

Insight Global is seeking experienced AWS Data Engineers to join a Financial Client on a large-scale data modernization initiative. This team is focused on unifying and migrating legacy data platforms into a modern AWS-based ecosystem that supports multiple lines of business across the organization.

This is a highly technical, hands-on data engineering position for professionals who enjoy designing, building, and optimizing cloud-based data pipelines while working closely with business and technology teams to solve complex data challenges.

What You'll Be Doing

• Design, build, test, and maintain scalable ETL/data pipelines in AWS
• Develop data integration solutions using AWS Glue, PySpark, Python, and SQL
• Migrate and transform data from legacy systems into modern cloud-based platforms
• Analyze source data, validate business requirements, and recommend data solutions
• Enhance and optimize existing data models and pipeline performance
• Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions
• Troubleshoot pipeline issues and implement improvements to ensure reliability and scalability
• Work independently to drive projects forward and take ownership of technical deliverables

Required Qualifications

• 8+ years of experience in Data Engineering, ETL Development, or related fields
• 3+ years of hands-on AWS experience building and maintaining data solutions
• Strong expertise with AWS Glue
• Strong experience with PySpark (AWS Glue experience highly preferred)
• Advanced SQL skills, including complex joins, data profiling, and performance optimization
• Experience designing and building end-to-end ETL pipelines
• Strong Python programming skills and understanding of object-oriented programming concepts
• Experience working with large-scale data migration or modernization projects
• Ability to perform data analysis, interpret business requirements, and translate them into technical solutions
• Strong problem-solving and troubleshooting skills
• Experience explaining project work, technical decisions, and business impact to stakeholders

Preferred Qualifications

• Experience with AWS services such as S3 and other cloud-native data tools
• Background with legacy ETL technologies such as Ab Initio, Talend, Informatica, or similar platforms
• Understanding of AI tools, agents, and practical use cases
• Experience optimizing PySpark jobs and AWS-based data processing workloads
• Knowledge of CI/CD processes supporting data engineering environments

Ideal Background

We're looking for true Data Engineers rather than Software Engineers. Strong candidates often come from:

• Data Engineering
• ETL Development
• Data Warehousing
• Analytics Engineering
• Advanced Data Analyst backgrounds that evolved into engineering-focused roles

Candidates should demonstrate recent, hands-on AWS experience and be comfortable discussing the architecture, development, and deployment of end-to-end data pipelines.