{"id":3294758,"url":"https://alion.io/job/american-express-data-engineer-iii-4","title":"Data Engineer III","company":{"id":2209,"name":"American Express","domain":"americanexpress.com","url":"https://alion.io/company/american-express","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":99,"open_postings":47,"ghost_share":0,"stale_share":0.085,"repost_share":0.277,"time_to_fill_p50_days":8,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Phoenix, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":87000,"max_usd":165000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":530},"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Grafana","optional":false},{"name":"Incident Management","optional":false},{"name":"ITIL","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Unix","optional":false},{"name":"YugabyteDB","optional":false}],"status":"live","first_seen_at":"2026-10-23T21:36:25Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-27T18:26:58Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"We are seeking an experienced Database Administrator / Database Reliability Engineer to support, engineer, and optimize enterprise database platforms across on-premises and cloud environments. This role will provide 24x7 production support for PostgreSQL, YugabyteDB, SQL Server, SingleStore and cloud-native database services, including Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner.\nThe ideal candidate will help ensure high availability, reliability, performance, scalability, and operational stability through proactive monitoring, automation, self-healing capabilities, incident response, and continuous platform improvement.\n Provide 24x7 production support for enterprise database platforms and mission-critical business applications.\nAdminister database platforms, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability.\nMonitor database health, availability, capacity, and performance; identify risks early and implement proactive improvements to reduce incidents.\nManage and resolve production incidents using established Incident Management processes.\nPerform root cause analysis and drive long-term remediation through Problem Management practices.\nPlan, validate, and implement database changes in alignment with Change Management processes.\nPartner with application, infrastructure, cloud, security, data engineering, and vendor teams to troubleshoot issues and improve platform stability.\nContribute to the architecture, design, engineering, and optimization of enterprise-scale data platforms.\nDevelop automation, observability, and self-healing capabilities to improve reliability, reduce manual effort, and increase operational efficiency.\nLeverage AI-enabled tools and automation frameworks to identify improvement opportunities and accelerate operational outcomes.\n\n 8+ years of hands-on DBA experience supporting PostgreSQL, YugabyteDB, SQL Server, and cloud-native databases such as Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Google Cloud SQL, and Google Cloud Spanner.\nStrong experience with database administration activities, including installation, configuration, upgrades, patching, monitoring, troubleshooting, backup and recovery, replication, and high availability.\nDeep technical knowledge of PostgreSQL, SQL Server, YugabyteDB, and cloud-native database platforms.\nProven ability to troubleshoot complex production issues related to performance, query optimization, workload management, capacity planning, latency, availability, and reliability.\nExperience with automation and DevOps tools such as Python, Unix shell scripting, Ansible, Terraform, GitHub, and CI/CD pipelines.\nHands-on experience with AWS and/or GCP database services, Infrastructure as Code, monitoring, and observability tools such as Grafana and DMC.\nUnderstanding of data engineering concepts, including data ingestion, ETL/ELT, data pipelines, data integration, and support for high-volume data workloads.\nKnowledge of ITIL processes, including Incident, Problem, and Change Management, along with Disaster Recovery and root 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