AWS Data Engineer | E-Solutions | Bridgewater, NJ

E-Solutions; Bridgewater Township (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

E-Solutions is actively seeking an experienced AWS Data Engineer for a contract onsite role in Bridgewater, NJ. You will design, build, secure, and scale data pipelines, data warehouses, and automated ETL workflows on AWS, collaborating with cross-functional teams in an Agile environment.

You will optimize data architectures, perform data quality audits, and maintain runbooks while ensuring visa eligibility and on-site presence in Bridgewater.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
• 5+ years of progressive professional experience in software engineering, data engineering, and cloud analytics.
• Strong hands-on expertise in AWS data ecosystem and cloud services.
• Proficient SQL, Python, ETL pipeline development, and distributed computing.
• Experience provisioning, configuring, and managing data warehouses and data lakes.
• Database design, performance tuning, and query optimization.

Responsibilities

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

Skills

AWS data services

SQL

Python

ETL pipeline

Distributed computing

Data warehousing

Education

Bachelor’s or Master’s degree in CS/IT/SE

Tools

Airflow

dbt

Docker

Kubernetes

Snowflake

Redshift

BigQuery

Kafka

Kinesis

Job description

Position Summary

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.

Detailed Job Description

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).

Key Responsibilities

• 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 DevOps 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.

Required Qualifications & Skills

• 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 Amazon Web Services (AWS) data ecosystem and cloud services.
• Comprehensive working knowledge and practical proficiency in SQL, Python, ETL pipeline development, and distributed computing.
• Deep practical experience provisioning, configuring, and managing cloud data warehouses and data lakes.
• Solid practical experience in database design, performance tuning, and query optimization.
• Exceptional analytical, troubleshooting, debugging, and problem-solving capabilities under high-pressure conditions.
• Mandatory legal work eligibility in the United States (supporting H1B, H4 EAD, and L2S visa statuses) and physical availability for onsite work in Bridgewater, NJ.

Nice-to-Have Skills

• Professional certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
• Prior professional working experience in top-tier technology consulting firms, multinational corporations, or enterprise data organizations.
• Hands-on familiarity with modern data stack orchestration tools (Apache Airflow, dbt) and containerization (Docker, Kubernetes).
• Experience integrating enterprise data warehouses (Snowflake, Redshift, BigQuery) into centralized analytics platforms.
• Exposure to streaming data architectures (Kafka, Kinesis) and machine learning feature engineering pipelines.

Application Information

Recruiter: E-Solutions Recruitment Division

Contact Name: Pragati S

Email: `[e-mail]`

Phone:

Company Website: https://www.e-solutionsinc.com

Salary/Rate: Market Competitive / Enterprise Contract Package

Deadline: Open until filled (Urgent Bridgewater AWS Data Engineer Opening)

Notice Period: Immediate to 30 Days Preferred

Contract Duration: Contract Engagement / Onsite Work in Bridgewater, NJ