Geospatial Enterprise Data Engineer - Technical Consultant

Esri; Redlands (CA); On-site; USD 84,240 - 142,480; Full time

Benefits offered by this job

Health and welfare benefits

401(k) and profit-sharing programs

Minimum of 80 hours of vacation leave

Job summary

Esri in Redlands, CA, is seeking a Technical Consultant, Enterprise Data Engineer to design and implement scalable geospatial data platforms for Defense and Intelligence operations. This role requires 5+ years of experience in database design and offers a competitive compensation package including health benefits and professional growth opportunities.

Candidates must possess a Bachelor's degree in a STEM field and have expertise in Oracle, SQL Server, and performance tuning among other skills. Join Esri to solve complex data challenges and impact critical missions.

Qualifications

• 5+ years of hands-on experience in database design, administration, and optimization.
• Familiarity with database design principles and data security measures.
• Ability to communicate complex technical concepts effectively.

Responsibilities

• Design and implement robust and secure database solutions.
• Collaborate with cross-functional teams during project phases.
• Configure and maintain database environments for high availability.

Skills

Database design

SQL

Python

Geospatial concepts

Performance tuning

Education

Bachelor’s degree in computer science, mathematics, GIS, or related STEM field

Tools

Oracle

SQL Server

PostgreSQL

SAP HANA

Job description

Esri in Redlands, CA, is seeking a Technical Consultant, Enterprise Data Engineer to design and implement scalable geospatial data platforms for Defense and Intelligence operations. This role requires 5+ years of experience in database design and offers a competitive compensation package including health benefits and professional growth opportunities.

Candidates must possess a Bachelor's degree in a STEM field and have expertise in Oracle, SQL Server, and performance tuning among other skills. Join Esri to solve complex data challenges and impact critical missions.