{"schemaVersion":"jobsearcher.job.v1","id":"6d501300d61213faf7179d7b","url":"https://jobsearcher.com/jobs/6d501300d61213faf7179d7b","canonicalUrl":"https://jobsearcher.com/jobs/6d501300d61213faf7179d7b","title":"Performance & Data Optimization Engineer","description":"**FULLY REMOTE** ScolerTec is seeking multiple Performance & Data Optimization Engineers to support a large-scale cloud data modernization program. This role focuses on optimizing cloud data-platform performance, database and SQL efficiency, workload scalability, reliability, observability, and cost. Key Responsibilities Tune SQL, databases, ETL/ELT pipelines, data models, and cloud data workloads. Optimize query execution, indexing, partitioning, caching, and clustering. Diagnose CPU, memory, disk, network, I/O, concurrency, and pipeline bottlenecks. Establish performance baselines, SLAs, dashboards, monitoring, and alerts. Perform workload analysis, capacity planning, scaling, and cost optimization. Support AWS infrastructure and modern data platforms. Implement Terraform/IaC and CI/CD automation. Support DevSecOps, secrets management, security scanning, HA/DR, and automated failover. Perform log/metric analysis and full-stack troubleshooting. Partner with DBAs, platform engineers, architects, and data engineers. Qualifications 5+ years systems/cloud/performance engineering. Strong AWS experience. Strong SQL and database performance tuning. Query optimization, indexing, partitioning, and execution-plan analysis. Terraform/CloudFormation or comparable IaC. CloudWatch, Datadog, Prometheus, Grafana, New Relic, or similar. Python/Bash/PowerShell. CI/CD, DevSecOps, containers. Experience with Databricks, Redshift, PostgreSQL, SQL Server, Oracle, Snowflake, or similar preferred.","company":"Scolertec","rawCompany":"scolertec","city":"Myrtle Point","state":"OR","isRemote":true,"isActive":false,"createdAt":"2026-10-12T10:57:02.089Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Performance & Data Optimization Engineer","description":"**FULLY REMOTE** ScolerTec is seeking multiple Performance & Data Optimization Engineers to support a large-scale cloud data modernization program. This role focuses on optimizing cloud data-platform performance, database and SQL efficiency, workload scalability, reliability, observability, and cost. Key Responsibilities Tune SQL, databases, ETL/ELT pipelines, data models, and cloud data workloads. Optimize query execution, indexing, partitioning, caching, and clustering. Diagnose CPU, memory, disk, network, I/O, concurrency, and pipeline bottlenecks. Establish performance baselines, SLAs, dashboards, monitoring, and alerts. Perform workload analysis, capacity planning, scaling, and cost optimization. Support AWS infrastructure and modern data platforms. Implement Terraform/IaC and CI/CD automation. Support DevSecOps, secrets management, security scanning, HA/DR, and automated failover. Perform log/metric analysis and full-stack troubleshooting. Partner with DBAs, platform engineers, architects, and data engineers. Qualifications 5+ years systems/cloud/performance engineering. Strong AWS experience. Strong SQL and database performance tuning. Query optimization, indexing, partitioning, and execution-plan analysis. Terraform/CloudFormation or comparable IaC. CloudWatch, Datadog, Prometheus, Grafana, New Relic, or similar. Python/Bash/PowerShell. CI/CD, DevSecOps, containers. Experience with Databricks, Redshift, PostgreSQL, SQL Server, Oracle, Snowflake, or similar preferred.","datePosted":"2026-10-12T10:57:02.089Z","dateModified":"2026-10-12T10:57:02.089Z","hiringOrganization":{"@type":"Organization","name":"Scolertec","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6d501300d61213faf7179d7b"},"url":"https://jobsearcher.com/jobs/6d501300d61213faf7179d7b"}}