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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** JSR Tech Consulting - **Location:** City of Orange, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Agile Methodology, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Automation of Tests, Unit Testing, Bash Shell, Software Quality, Code Review, Computer Programming, Continuous Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, DevOps, File Systems, Amazon DynamoDB, Gradle, Groovy, Identity and Access Management, Python (Programming Language), Apache Maven, Network Attached Storage (Server Appliance), Role-Based Access Control, Standard Sql, Shell Script, Amazon Simple Notification Service (SNS), Software Engineering, SONAR (Symantec), SonarQube, SQL Stored Procedures, Enterprise Data Management, Cloudbees, DevOps Tools - Open-source, Delivery Pipeline, Apache Spark, Cloudformation, Servicebus, Amazon Relational Database Service, Information Technology, Data Lineage, Atlassian Tools, Production Code, AWS Data Analytics, Apache Kafka, SAP Ariba, Bitbucket, Cloudwatch, Restful APIs, Amazon Simple Queue Service (SQS), Marketplace, Software Version Control, Data Pipelines, Docker, Jenkins, Vulnerability Analysis, Artifactory - **Published:** October 2, 2026 - **Apply:** https://www.disabledperson.com/jobs/75649025-senior-data-engineer ## About the Role * Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience * 8+ years of experience as a Data Engineer on the AWS stack, including DevOps tooling * AWS Solutions Architect or AWS Developer Certification required * Strong hands-on experience with AWS services, including: * CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark * RDS, Redshift, DynamoDB, Lambda, Step Functions * IAM, KMS, SM, EventBridge, EC2, SQS, SNS * LakeFormation, CloudWatch, CloudTrail, DataSync, DMS * Experience implementing high-velocity streaming solutions using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred) * Proven experience building AWS data lake/data warehouse solutions * Skilled in designing, developing, and implementing data ingestion pipelines on AWS * Knowledge of ETL/ELT implementation for data solutions * Experience delivering end-to-end data solutions: ingest, storage, integration, processing, and access * Familiarity implementing RBAC strategies using AWS IAM and Redshift RBAC model * Experience building and implementing CI/CD pipelines using CloudFormation and Jenkins * Strong programming skills in Python, Shell scripting, and SQL * Experience with SQL stored procedures for data analysis * Experience building automated pipelines to ingest data from relational databases, file systems, and NAS shares into AWS RDS, Aurora, and Redshift * Experience building automated pipelines to ingest data from REST APIs into AWS S3 and relational databases * Solid DevOps background, including: * Bitbucket (source code management) * Python, Shell, Groovy scripting * API deployment for tooling integration * Jenkins and CloudBees (Pipeline as Code, Shared Libraries) * SonarQube, Artifactory, and similar DevOps tools * Maven, MS Build, Gradle * Docker * Jira and Confluence * Infrastructure as Code via CloudFormation * Experience creating Jenkins CI pipelines integrating Sonar/security scans and test automation * Ability to accurately document exceptions, issues, action plans, meeting minutes, and lessons learned ## Description Join a major investment firm as a Senior AWS Data Engineer supporting enterprise data platform initiatives. This role focuses on building scalable data pipelines, CI/CD automation, and end-to-end data solutions across the AWS ecosystem. Experience with Informatica (data catalogue, marketplace, data lineage, data quality), Denodo, and/or Ataccama is a strong plus., * Design, build, and maintain efficient, reusable, and reliable code * Ensure optimal performance and quality of high-scale data applications and services * Participate in system design discussions * Independently perform hands-on development and unit testing * Collaborate with the development team to integrate components into the enterprise data platform * Work cross-functionally with product, QE/QA, and other teams throughout the full software development lifecycle * Identify and resolve performance issues * Stay current with emerging technologies and implementation practices * Participate in code reviews to ensure standards and best practices are met * Take ownership of estimating, planning, and managing tasks in an Agile environment * Take shared responsibility for software quality rather than relying on separate QA teams * Collaborate closely with all team members toward shared goals * Engage with users as needed to clarify requirements ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Modular Secrets to Lightning-Fast Android Builds](https://www.wearedevelopers.com/videos/1428-modular-secrets-to-lightning-fast-android-builds) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [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) - [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) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)