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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Engineer - **Company:** GE Aerospace - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $93,000.0 - $124,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Amazon S3, Audit Trail, Bash Shell, Computer Programming, Databases, Data Governance, Elasticsearch, Fault Tolerance, Identity and Access Management, Python (Programming Language), Machine Learning, Node.Js, Cloud Services, Prometheus, SQL Databases, Talend, Web Applications, Datadog, Data Logging, Power Platform Integration, ReactJS, System Availability, Grafana, Cloudformation, Vue.js, Containerization, Debezium, Kubernetes, Data Analytics, Spotfire, Dataiku, Cloudwatch, Terraform, Data Pipelines, Docker, Elk Stack - **Published:** May 23, 2026 - **Apply:** https://www.juju.com/job/00000000g1l0w8 ## About the Role + Bachelor's degree from accredited university or college with minimum of 2 years of professional experience OR associate's degree with minimum of 5 years of professional experience OR High School Diploma with minimum of 7 years of professional experience + **Programming:** Python, Bash scripting. + **Containerization:** Docker. + **Cloud Services:** AWS (Lambda, CloudTrail, X-Ray, CloudWatch, S3, IAM). + **Observability Tools:** Prometheus, Grafana, Datadog, FluentBit, ELK stack, OpenSearch. + **Data Pipelines:** Airflow, Glue, Step Functions. + **Standards:** OpenTelemetry, E2E lineage strategy, CDC tooling (AWS DMS, Debezium). + **Databases:** SQL, Elasticsearch/OpenSearch stacks. + **Infrastructure:** AMI creation, deployment, CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation). + **Note** : Military experience is equivalent to professional experience Eligibility Requirement: + Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: + Web application stacks (Node.js, Vue, React). + Security/compliance observability integration. + Custom connectors/APIs for observability tools. + OpenMetadata experience. + Machine learning or AI-driven automation techniques. + Kubernetes for container orchestration. ## Description As the Sr. Data Engineer, you will play a critical role in building and architecting automation and observability for the EDAS platform, with a particular focus on the data consumption side in the near term. You will be responsible for emphasizing automating workflows, ensuring platform reliability by developing data-driven observability tools and collaborating with teams to enhance efficiency and performance. The platform to automate & observe includes Redshift, Spotfire and triggers, Dataiku project flows, and Talend. The role focuses on designing and implementing automation solutions to streamline workflows, enhance efficiency, and ensure platform reliability. It involves building observability frameworks for real-time monitoring, logging, and alerting, optimizing data pipelines for scalability, and ensuring compliance with data governance and security standards., + Build and maintain observability frameworks to monitor the health, performance, and reliability of data and analytic platforms. + Implement tools for real-time monitoring, logging, and alerting to ensure proactive issue detection and resolution. + Analyze system metrics and logs to identify trends, anomalies, and areas for improvement. + Design and implement intelligent automation solutions to streamline data and analytic processing workflows and platform operations. + Develop scripts, tools, and frameworks to automate repetitive tasks and improve system efficiency. + Collaborate with cross-functional teams to identify automation opportunities and implement solutions. + Ensure high availability and fault tolerance of the platform through robust monitoring and automation strategies. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Lessons learned from building a thriving Vue.js SaaS application](https://www.wearedevelopers.com/videos/1666-lessons-learned-from-building-a-thriving-vue-js-saas-application) - [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) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Common Mistakes in Vue.js and How to Avoid Them](https://www.wearedevelopers.com/videos/958-common-mistakes-in-vue-js-and-how-to-avoid-them) ## Related Articles - [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) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [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)