Join GE HealthCare as a Senior Data Engineer and play a critical role in architecting automation and observability for the EDAS platform, with a primary focus on the data consumption side. You will be responsible for automating workflows, ensuring platform reliability by developing data-driven observability tools, and collaborating with teams to enhance efficiency and performance.
What You'll Do
- 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.
What We're Looking For
- 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.
Nice to Have
- 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.
Technical Stack
- Redshift, Spotfire, Dataiku, Talend, Python, Bash, Docker, AWS Lambda, AWS CloudTrail, AWS X-Ray, AWS CloudWatch, AWS S3, AWS IAM, Prometheus, Grafana, Datadog, FluentBit, ELK stack, OpenSearch, Airflow, AWS Glue, AWS Step Functions, OpenTelemetry, AWS DMS, Debezium, SQL, Elasticsearch, OpenSearch, Terraform, CloudFormation, Node.js, Vue, React, Kubernetes
Benefits & Compensation
- Compensation range: $93,000 - $155,000.
- Medical, dental, vision, and prescription drug coverage.
- Access to a Health Coach, a 24/7 nurse-based resource.
- Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
- GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions.
- Access to Fidelity resources and planning consultants.
- Tuition assistance.
- Adoption assistance.
- Paid parental leave.
- Disability insurance.
- Life insurance.
- Paid time-off for vacation or illness.
- Annual discretionary bonus based on a percentage of your base salary/ commission.
Work Mode
This is a remote position open to candidates anywhere in the United States.
GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
