AWS Data Engineer

E-Solutions is actively seeking an experienced, high-caliber, and technical AWS Data Engineer with a strong professional background in cloud data architecture, big data engineering, and ETL pipeline development to join our client project on a contract basis for an onsite engagement in Bridgewater, NJ. In this critical data infrastructure and cloud analytics role, you will be responsible for designing, building, securing, and scaling robust data pipelines, data warehouses, and automated ETL workflows on Amazon Web Services.

You will leverage your deep specialist expertise in AWS cloud services, modern data stack tools, and distributed computing to deliver uncompromised data reliability, high throughput, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global IT staffing and digital consulting enterprise.

As an AWS Data Engineer supporting E-Solutions in Bridgewater, NJ, you will take full operational, tactical, and technical ownership of cloud data pipeline architecture, ETL/ELT workflow execution, performance optimization, and database administration across mission-critical analytics platforms. Your day-to-day responsibilities include designing, developing, testing, and maintaining scalable data pipelines and automated ingestion frameworks utilizing AWS services, building, optimizing, and managing distributed big data processing and ETL workflows, provisioning, administering, and securing cloud data storage and compute resources across AWS environments, collaborating closely with cross-functional software engineering, data science, product, and executive stakeholder squads in Agile sprint cycles, conducting rigorous data quality audits, performance tuning, query optimization, and debugging across large-scale datasets, preparing comprehensive technical documentation of data models, pipeline topologies, and operational runbooks, and managing application requirements.

You will utilize your proactive troubleshooting and analytical problem-solving skills to resolve complex data pipeline failures and latency bottlenecks under strict service level agreements. Furthermore, you will manage application requirements ensuring strict compliance with the Bridgewater on-site presence, contract hire type, and visa eligibility (H1B, H4 EAD, L2S).

• Design, develop, test, optimize, and maintain scalable data pipelines and automated ETL/ELT integration workflows on AWS.
• Author robust, high-performance data processing scripts and SQL queries utilizing modern cloud data warehousing tools.
• Build, maintain, and optimize distributed big data analytics clusters and data pipelines utilizing cloud compute and storage services.
• Administer, secure, and optimize cloud storage, data lakes, and compute resources across Amazon Web Services.
• Implement Dev Ops practices, version control workflows, and automated deployment pipelines for data applications.
• Conduct rigorous data analysis, debugging, performance optimization, and query tuning across large-scale distributed datasets.
• Collaborate seamlessly with cross-functional software engineering, data science, and business analytics squads.
• Maintain accurate, comprehensive technical documentation of data schemas, pipeline architectures, and operational runbooks.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
• Minimum of 5+ years of progressive professional experience in software engineering, data engineering, and cloud analytics.
• Strong, demonstrable hands-on professional expertise in…