Job Description Summary 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. Job Description In this role you will: - 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. Minimum Qualifications: - 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. Additional Information: The base pay range for this position is $93,000 - $124,000. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on March 31, 2026. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual. 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)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. 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. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No #LI-Remote - This is a remote position

• Execute our cohesive data strategy that aligns with company objectives. • Lead the design, development, and evolution of Supplier.io data architecture, ensuring scalability, reliability, performance and security. • Execute and influence a cohesive data strategy that aligns with company objectives and supports analytics, reporting, and downstream product use cases. • Design, build, and maintain robust, cloud-native data pipelines and data warehouses, with Snowflake as a core component of the platform. • Own complex data modeling initiatives, including dimensional and analytical models that support business intelligence and advance analytics. • Evaluate, introduce, and integrate new tools, technologies, and methodologies, while aligning legacy counterparts for improved data ingestion, transformation, storage, and processing. • Drive continuous improvement by optimizing data pipelines, query performance, reliability, observability, and cost efficiency. • Partner with Infrastructure, Product, Analytics, and Engineering teams to ensure data systems meet best practices, security standards, and business needs. • Provide technical leadership and mentorship to other data engineers, contributing to code reviews, design discussions, and engineering standards. • Create and maintain comprehensive technical documentation, including architecture diagrams, data flow maps, runbooks, security considerations, and operations procedures. • Participate in agile planning and executive, contributing to estimation, prioritization, and delivery of high-impact data initiatives. • Troubleshoot and resolve complex, cross-system data issues and incidents.

• Establish and govern the enterprise data architecture across core platforms, including CRM, HUB, ERP, RIM, CTMS, QMS, and AWS, ensuring a unified and scalable data foundation. • Define and maintain the canonical enterprise data model, including a standardized data dictionary and shared business definitions to ensure consistency across systems and reporting. • Architect scalable AWS data lake and data warehouse structures aligned with commercialization, analytics, and enterprise reporting needs. • Define, document, and enforce enterprise integration standards, including API, ETL/ELT, and event-driven patterns to ensure consistent, reliable data movement across systems. • Implement and evolve master data governance standards, establishing data domains, stewardship, and an ownership framework across cross-functional teams. • Ensure data lineage, traceability, and documentation meet regulatory expectations and support SOX controls and IPO readiness initiatives. • Provide data architecture oversight for system selection and implementation, partnering with vendors and internal teams to align solutions with the target-state architecture. • Partner with stakeholders across IT, Commercial, Regulatory, Clinical, and Finance to prevent siloed implementations, improve data quality, and enable trusted enterprise reporting.

• Establish and govern the enterprise data architecture across core platforms, including CRM, HUB, ERP, RIM, CTMS, QMS, and AWS, ensuring a unified and scalable data foundation. • Define and maintain the canonical enterprise data model, including a standardized data dictionary and shared business definitions to ensure consistency across systems and reporting. • Architect scalable AWS data lake and data warehouse structures aligned with commercialization, analytics, and enterprise reporting needs. • Define, document, and enforce enterprise integration standards, including API, ETL/ELT, and event-driven patterns to ensure consistent, reliable data movement across systems. • Implement and evolve master data governance standards, establishing data domains, stewardship, and an ownership framework across cross-functional teams. • Ensure data lineage, traceability, and documentation meet regulatory expectations and support SOX controls and IPO readiness initiatives. • Provide data architecture oversight for system selection and implementation, partnering with vendors and internal teams to align solutions with the target-state architecture. • Partner with stakeholders across IT, Commercial, Regulatory, Clinical, and Finance to prevent siloed implementations, improve data quality, and enable trusted enterprise reporting.