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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AWS Data Engineer-Cloud Data Engineer - **Company:** Ipolarity LLC - **Location:** Hanover, NJ, United States - **Experience:** Expert - **Salary:** $108,160.0 - $114,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Cloud Database, Code Review, Collaborative Software, Computer Programming, Databases, Continuous Integration, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, DevOps, File Systems, Amazon DynamoDB, Gradle, Identity and Access Management, Python (Programming Language), Apache Maven, Role-Based Access Control, Shell Script, Software Engineering, SonarQube, SQL Databases, Enterprise Data Management, Cloudbees, Data Ingestion, Delivery Pipeline, Apache Spark, Cloudformation, Infrastructure Automation Frameworks, Information Technology, Atlassian Tools, AWS Data Analytics, Apache Kafka, Build Tools, Bitbucket, Cloudwatch, Software Version Control, Data Pipelines, Docker, Jenkins, Artifactory - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=60269398d79f897f ## About the Role * Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent experience. * 8+ years of experience as a Data Engineer with strong AWS cloud experience. * AWS Solutions Architect or AWS Developer certification required. * Strong hands-on experience with AWS services including: + S3, Glue, Athena, EMR/Spark, Redshift, RDS/Aurora, DynamoDB + Lambda, Step Functions, IAM, KMS, Secrets Manager + EventBridge, CloudWatch, CloudTrail, Lake Formation, DataSync, DMS * Experience building AWS data lakes, data warehouses, and scalable data pipelines. * Strong programming skills in Python, SQL, and Shell scripting. * Experience with DevOps practices, CI/CD pipelines, Jenkins, CloudFormation, and Infrastructure as Code. * Experience with source control tools such as Bitbucket and collaboration tools such as Jira and Confluence. * Experience with Docker, SonarQube, Artifactory, and build tools such as Maven/Gradle is preferred. Preferred Skills * Experience with real-time streaming solutions using Amazon Kinesis, AWS Managed Kafka, and Managed Airflow. * Experience working in Agile/Scrum environments. * Strong problem-solving, communication, and collaboration skills. ## Description We are seeking a highly skilled Senior AWS Data Engineer to design, develop, and maintain scalable cloud-based data solutions. The ideal candidate will have strong experience building AWS data platforms, data pipelines, ETL/ELT solutions, and CI/CD automation using modern DevOps practices. Responsibilities * Design, develop, and maintain scalable data pipelines and enterprise data platforms on AWS. * Build end-to-end data solutions including data ingestion, storage, processing, integration, and access. * Develop ETL/ELT workflows and automated pipelines from databases, file systems, APIs, and other data sources into AWS data platforms. * Design and implement AWS data lake and data warehouse solutions using services such as S3, Glue, Athena, EMR/Spark, Redshift, RDS, Lambda, Step Functions, and Lake Formation. * Build and maintain CI/CD pipelines using Jenkins, CloudBees, CloudFormation, and DevOps tools. * Develop secure, reliable, and high-performing applications using Python, SQL, and Shell scripting. * Implement data security and access controls using AWS IAM and Redshift RBAC. * Participate in architecture discussions, code reviews, troubleshooting, and Agile development activities. * Collaborate with product, QA, and engineering teams to deliver enterprise data solutions. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Modular Secrets to Lightning-Fast Android Builds](https://www.wearedevelopers.com/videos/1428-modular-secrets-to-lightning-fast-android-builds) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)