Geospatial Data & DB Solutions Engineer
Esri
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Job summary
Esri is seeking a mid‑level Database Engineer to design and secure scalable enterprise database environments for defense and intelligence projects in the St. Louis area.
You will translate complex requirements into data solutions, configure databases, and ensure high availability and disaster recovery while applying geospatial data concepts. You will leverage SQL and Python for automation, with responsibilities including migration, performance tuning, and secure access control, all within a
Qualifications
- 5+ years of hands‑on experience in database design, administration, and optimization for Oracle, SQL Server, PostgreSQL, or SAP HANA.
- Familiarity with database design principles, data loading techniques, backup and recovery solutions, performance monitoring and tuning, security.
- Scripting in SQL and Python for automation and data workflows.
- Exposure to geospatial concepts such as spatial data types, coordinate systems, and spatial indexing.
- US citizenship with Active or Current Top Secret Security Clearance with SCI eligibility.
- Bachelor’s degree in computer science, mathematics, GIS, or related STEM field.
Responsibilities
- Design scalable and secure enterprise database solutions.
- Translate customer technical requirements into data solutions.
- Configure and maintain enterprise database environments.
- Design backup, recovery, high-availability, and disaster recovery approaches.
- Monitor and optimize database performance.
- Implement database security and access controls.
- Automate database loading, maintenance, and monitoring.
- Guide customers through database migration and integration initiatives.
- Apply geospatial data concepts to enterprise database environments.
Skills
Education
Tools
Job description
Esri is seeking a mid‑level Database Engineer to design and secure scalable enterprise database environments for defense and intelligence projects in the St. Louis area.
You will translate complex requirements into data solutions, configure databases, and ensure high availability and disaster recovery while applying geospatial data concepts. You will leverage SQL and Python for automation, with responsibilities including migration, performance tuning, and secure access control, all within a
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