Let's begin! Senior Data Engineer- Cybersecurity

Experteer Overview In this role you will build scalable data pipelines and cloud infrastructure to power Moody’s cybersecurity data platforms. You will collaborate with cybersecurity, compliance, and engineering teams to deliver reliable data solutions for audit and risk analytics. You will optimize data flows, transform security event data at scale, and ensure data quality and observability. This is a chance to shape data foundations that enable AI-driven insights and trusted analytics in a high-volume, cloud environment. You will work in a cross-functional, innovative team dedicated to advancing risk assessment at scale. Compensation / Benefits * Build scalable data pipelines, ETL processes, and cloud infrastructure for high-volume data platforms * Design, build, and maintain pipelines ingesting and routing security event data at scale * Develop ETL processes to normalize and enrich data from diverse sources * Maintain data warehouse and SQL datastore solutions supporting cybersecurity, audit, and compliance * Develop IaC to provision and manage cloud resources (Pulumi, CloudFormation, AWS CDK) * Create automation/tools in Python and/or JavaScript to improve data quality, efficiency, and reliability * Collaborate with cybersecurity, compliance, and engineering teams to meet data requirements * Monitor, troubleshoot, and optimize pipeline performance, scale, cost, and reliability * Document data flows, schemas, and operational processes for maintenance and audit readiness Tasks * 5-7 years in data engineering, data warehousing, DB administration, or related discipline * Strong experience designing, building, and supporting ETL processes and scalable data pipelines * Proficiency in SQL and experience with relational databases and data warehouse technologies * Experience developing automation with Python and/or JavaScript * Hands-on experience deploying and managing AWS cloud solutions * Experience with IaC tools (Pulumi, CloudFormation, Terraform, or similar) * Strong understanding of data modeling, schema design, data quality, and data normalization * Experience with Splunk, Cribl, observability platforms, or large-scale operational data environments is a plus Key requirements * medical, dental, vision * parental leave * paid time off * 401(k) with company contributions * life, disability, and accident insurance * tuition reimbursement

power audit, and compliance * Develop IaC to provision and manage cloud resources (Pulumi, CloudFormation, AWS CDK) * Create automation/tools in Python and/or JavaScript to improve data quality, efficiency, and reliability * Collaborate with cybersecurity, compliance, and engineering teams to meet data requirements * Monitor, troubleshoot, and optimize pipeline performance, scale, cost, and reliability * Document data flows, schemas, and operational processes for maintenance and audit readiness Tasks * 5-7 years in data engineering, data warehousing, DB administration, or related discipline * Strong experience designing, building, and supporting ETL processes and scalable data pipelines * Proficiency in SQL and experience with relational databases and data warehouse technologies * Experience developing automation with Python and/or JavaScript * Hands-on experience deploying and managing AWS cloud solutions * Experience with IaC tools (Pulumi, CloudFormation, Terraform, or similar) * aaaa to understanding of data modeling, schema design, data quality, and data normalization * Experience with Splunk, Cribl, observability platforms, or large-scale operational data environments is a plus Key requirements * medical, dental, vision * parental leave * paid time off * 401(k) with company contributions * life, disability, and accident insurance * tuition reimbursement