{"schemaVersion":"jobsearcher.job.v1","id":"c0f3fcf00a8a02eb2c6db3e7","url":"https://jobsearcher.com/jobs/c0f3fcf00a8a02eb2c6db3e7","canonicalUrl":"https://jobsearcher.com/jobs/c0f3fcf00a8a02eb2c6db3e7","title":"Data Engineer - AWS","description":"Contract positions for a major investment firm.\nHybrid work environment in Newark, NJ.\n\nData Engineers (AWS)\nJob Summary:\nWe are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and architectures in the AWS cloud environment. This role will collaborate closely with data scientists, analysts, and other business stakeholders to deliver robust data solutions.\nKey Responsibilities:\nDesign, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS.\nBuild robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS.\nDevelop and manage ETL/ELT processes to collect, process, and store data from multiple sources, ensuring data quality, integrity, and security.\nArchitect and implement end-to-end data solutions (ingestion, storage, integration, processing, access) on AWS, with a focus on data lakes and data warehouses.\nParticipate in the architecture and system design discussions for high-scale data engineering projects.\nIndependently perform hands-on development, unit testing, and participate in code reviews to ensure adherence to best practices.\nImplement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies.\nMigrate data from traditional relational databases, file systems, and APIs to AWS-based data lakes (S3), RDS, Aurora, and Redshift.\nImplement high-velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred).\nArchitect and implement CI/CD strategies for enterprise data platforms.\nCollaborate with product, operations, QA, and cross-functional teams throughout the software development cycle.\nStay abreast of new technology developments, implement POCs for new tools/technologies, and onboard them for real-world use cases.\nIdentify and resolve performance issues and continuously optimize for cost, reliability, and scalability.\nRequired Qualifications:\nBachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.\n5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.\nStrong programming experience with Python, Shell scripting, and SQL.\nSolid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.\nExperience in serverless application development and data pipeline orchestration.\nExperience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.\nKnowledge of ETL/ELT, data modeling, and big data technologies.\nFamiliarity with data warehousing concepts and cloud-based architecture.\nStrong problem-solving skills and attention to detail.\nExcellent communication and teamwork abilities.\nPreferred Qualifications:\nExperience with additional AWS services: API Gateway, ElasticSearch, SQS.\nExperience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).\nExperience with DevOps practices and CI/CD pipelines.\nExperience implementing end-to-end streaming solutions (Amazon Kinesis, SQS, Kafka).\nAWS Solutions Architect or AWS Developer Certification preferred.\nUnderstanding of Lakehouse/data cloud architecture.\nKnowledge of data governance and compliance standards.\npayrate 60 - 70 per hour, depending on experience.\n\n#LI-PP1","company":"Jsrtechconsulting","rawCompany":"jsrtechconsulting","city":"East Newark","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-08-03T17:41:54.073Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer - AWS","description":"Contract positions for a major investment firm.\nHybrid work environment in Newark, NJ.\n\nData Engineers (AWS)\nJob Summary:\nWe are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and architectures in the AWS cloud environment. This role will collaborate closely with data scientists, analysts, and other business stakeholders to deliver robust data solutions.\nKey Responsibilities:\nDesign, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS.\nBuild robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS.\nDevelop and manage ETL/ELT processes to collect, process, and store data from multiple sources, ensuring data quality, integrity, and security.\nArchitect and implement end-to-end data solutions (ingestion, storage, integration, processing, access) on AWS, with a focus on data lakes and data warehouses.\nParticipate in the architecture and system design discussions for high-scale data engineering projects.\nIndependently perform hands-on development, unit testing, and participate in code reviews to ensure adherence to best practices.\nImplement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies.\nMigrate data from traditional relational databases, file systems, and APIs to AWS-based data lakes (S3), RDS, Aurora, and Redshift.\nImplement high-velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred).\nArchitect and implement CI/CD strategies for enterprise data platforms.\nCollaborate with product, operations, QA, and cross-functional teams throughout the software development cycle.\nStay abreast of new technology developments, implement POCs for new tools/technologies, and onboard them for real-world use cases.\nIdentify and resolve performance issues and continuously optimize for cost, reliability, and scalability.\nRequired Qualifications:\nBachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.\n5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.\nStrong programming experience with Python, Shell scripting, and SQL.\nSolid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.\nExperience in serverless application development and data pipeline orchestration.\nExperience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.\nKnowledge of ETL/ELT, data modeling, and big data technologies.\nFamiliarity with data warehousing concepts and cloud-based architecture.\nStrong problem-solving skills and attention to detail.\nExcellent communication and teamwork abilities.\nPreferred Qualifications:\nExperience with additional AWS services: API Gateway, ElasticSearch, SQS.\nExperience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).\nExperience with DevOps practices and CI/CD pipelines.\nExperience implementing end-to-end streaming solutions (Amazon Kinesis, SQS, Kafka).\nAWS Solutions Architect or AWS Developer Certification preferred.\nUnderstanding of Lakehouse/data cloud architecture.\nKnowledge of data governance and compliance standards.\npayrate 60 - 70 per hour, depending on experience.\n\n#LI-PP1","datePosted":"2026-08-03T17:41:54.073Z","dateModified":"2026-08-03T17:41:54.073Z","hiringOrganization":{"@type":"Organization","name":"Jsrtechconsulting","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"East Newark","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c0f3fcf00a8a02eb2c6db3e7"},"url":"https://jobsearcher.com/jobs/c0f3fcf00a8a02eb2c6db3e7"}}