> Markdown version of [/jobs/ext/3949104-cgemjp00360646-aws-data-engineer](https://www.wearedevelopers.com/jobs/ext/3949104-cgemjp00360646-aws-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CGEMJP00360646 -AWS Data Engineer | - **Company:** Alpha Net Consulting LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Data Analysis, Big Data, Cloud Computing, Cloud Engineering, Code Review, Computer Programming, Continuous Integration, Information Engineering, Data Governance, Data Migration, Data Stores, Data Systems, Data Warehousing, Relational Databases, DevOps, File Systems, Amazon DynamoDB, Elasticsearch, Identity and Access Management, Systems Analysis, Python (Programming Language), Systems Development Life Cycle, Shell Script, Software Engineering, SQL Databases, Enterprise Data Management, AWS Lambda, Cloudformation, Data Lakes, Information Technology, AWS Data Analytics, Apache Kafka, Data Management, Dynamic Data, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Serverless Computing - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/cgemjp00360646-aws-data-engineer-avenel-nj--8e519acd-2943-443f-afd2-7a1b2e9eeb8e ## About the Role Amazon Web Services (AWS), Data Management, Data Science, Cloud Computing, Amazon Web Services (AWS), Data Analysis, Scalable System Development, AWS Lambda, Amazon Simple Storage Service (S3), Simple Queue Service (SQS), Bachelors degree in Computer Science Software Engineering MIS or equivalent combination of education and experience 5 years of experience implementing and supporting data lakes data warehouses and data applications on AWS for large enterprises Strong programming experience with Python Shell scripting and SQL Solid experience with AWS services CloudFormation S3 Athena Glue EMRSpark RDS Redshift DynamoDB Lambda Step Functions IAM KMS Secrets Manager Experience in serverless application development and data pipeline orchestration Experience in system analysis design development and implementation of data ingestion pipelines in AWS Knowledge of ETLELT data modeling and big data technologies Familiarity with data warehousing concepts and cloudbased architecture Strong problemsolving skills and attention to detail Excellent communication and teamwork abilities Preferred Qualifications Experience with additional AWS services API Gateway ElasticSearch SQS Experience with infrastructureascode tools eg Terraform CloudFormation Experience with DevOps practices and CICD pipelines Experience implementing endtoend streaming solutions Amazon Kinesis SQS Kafka AWS Solutions Architect or AWS Developer Certification preferred Understanding of Lakehousedata cloud architecture Knowledge of data governance and compliance standard ## Description We 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, Design build and maintain efficient reusable and reliable architecture and code for data pipelines and data applications on AWS Build robust data ingestion pipelines from onprem to AWS and within AWS using AWS services such as Glue Redshift S3 Lambda EMRSpark Kinesis and SQS Develop and manage ETLELT processes to collect process and store data from multiple sources ensuring data quality integrity and security Architect and implement endtoend data solutions ingestion storage integration processing access on AWS with a focus on data lakes and data warehouses Participate in the architecture and system design discussions for highscale data engineering projects Independently perform handson development unit testing and participate in code reviews to ensure adherence to best practices Implement serverless applications using AWS Lambda API Gateway Step Functions and other AWS technologies Migrate data from traditional relational databases file systems and APIs to AWSbased data lakes S3 RDS Aurora and Redshift Implement highvelocity streaming solutions using Amazon Kinesis SQS and Kafka preferred Architect and implement CICD strategies for enterprise data platforms Collaborate with product operations QA and crossfunctional teams throughout the software development cycle Stay abreast of new technology developments implement POCs for new toolstechnologies and onboard them for realworld use cases Identify and resolve performance issues and continuously optimize for cost reliability and scalability