GE AerospaceRemote
Sr. Data Engineer
United States of America
Full Time
1 week ago
$93,000 - $124,000 USD
H1B Sponsor Likely
Key skills
PythonCSQLBashAIMachine LearningAirflowReactVueNode.jsAWSTerraformKubernetesDockerCloudFormationLambdaS3IAMCloudWatchGlueElasticsearchPrometheusGrafanaDatadogELK StackOpenTelemetryCI/CD
About this role
GE Aerospace is seeking a Sr. Data Engineer to play a critical role in building and architecting automation and observability for the EDAS platform. The role involves designing and implementing automation solutions, enhancing efficiency, ensuring platform reliability, and collaborating with teams to optimize data workflows.
Responsibilities:
- 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
Requirements:
- 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)
- 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
- This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3))
- 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