AWS Data Engineer

Contract Opportunity with a Major Investment Firm

Location: Newark, NJ (Hybrid - 3 Days/Week Onsite)

Duration: 12+ Months

Pay Rate: Up to $65/hour W2 or $70/hour C2C (Based on Experience)

Employment Type: W2 or Corp-to-Corp

Candidates: Local Candidates Preferred

We are seeking an experienced AWS Data Engineer to join a growing Data Engineering team supporting enterprise-scale cloud initiatives within a leading financial services organization.

This role is ideal for someone who enjoys designing and building modern cloud-based data platforms, developing scalable data pipelines, and working with large volumes of enterprise data. You'll collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions using the latest AWS technologies.

• Design, develop, and maintain scalable data pipelines and cloud-native data architectures on AWS
• Build robust data ingestion pipelines from on-premises and cloud-based data sources
• Develop and support ETL/ELT processes to ensure high-quality, secure, and reliable data movement
• Design and implement enterprise data lakes and data warehouse solutions
• Participate in architecture and system design discussions for large-scale data engineering initiatives
• Develop, test, and maintain high-quality, reusable code following engineering best practices
• Build serverless applications using AWS Lambda, API Gateway, Step Functions, and related services
• Migrate data from relational databases, APIs, and file systems into AWS platforms including S3, RDS, Aurora, and Redshift
• Develop streaming data solutions using Amazon Kinesis, SQS, and Kafka (preferred)
• Design and implement CI/CD pipelines for enterprise data platforms
• Collaborate with Product Owners, QA, Operations, and cross-functional engineering teams throughout the software development lifecycle
• Research emerging technologies, build proof-of-concepts, and recommend new solutions
• Monitor, troubleshoot, and optimize data platforms for performance, scalability, reliability, and cost efficiency

• Bachelor's degree in Computer Science, Software Engineering, MIS, or related field (or equivalent experience)
• 5+ years of experience building enterprise data lakes, data warehouses, and cloud-based data platforms on AWS
• Strong programming experience with Python, SQL, and Shell scripting
• Experience building serverless data applications and orchestrating data pipelines
• Strong understanding of ETL/ELT processes, data modeling, and cloud data architectures
• Experience designing and implementing AWS data ingestion pipelines
• Knowledge of enterprise data warehousing concepts and best practices
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively within Agile development teams

• Experience with API Gateway, Elastic Search, Amazon SQS, and additional AWS services
• Experience using Infrastructure-as-Code tools such as Terraform and Cloud Formation
• Experience implementing Dev Ops practices and CI/CD pipelines
• Experience building real-time streaming data solutions using Amazon Kinesis, Kafka, and SQS
• AWS Solutions Architect or AWS Developer Certification
• Knowledge of Lakehouse architecture and modern cloud data platforms
• Understanding of data governance, security, and compliance standards

If you're passionate about building scalable cloud data platforms and want to work on enterprise-level AWS initiatives within a leading investment firm, we'd love to hear from you.