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. What You'll Do 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 Required Qualifications 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 Preferred Qualifications Experience with API Gateway, ElasticSearch, Amazon SQS, and additional AWS services Experience using Infrastructure-as-Code tools such as Terraform and CloudFormation Experience implementing DevOps 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. #J-18808-Ljbffr