Database Engineer: PostgreSQL, SQL & ETL Expert

Deloitte France; United States; On-site; USD 103,000 - 171,000; Full time

Job summary

Deloitte is seeking an experienced Database Engineer to join our AI & Engineering team in the United States. You will administer PostgreSQL environments, design scalable data models, and deliver end-to-end ETL pipelines for client projects.

Responsibilities include performance tuning, data integrity validation, and collaborating with developers, data scientists, and analysts. Travel approx. 10% may be required; sponsorship may be available for eligible candidates.

Qualifications

• 4+ years in data engineering, database administration, or a data-focused software role.
• Hands-on PostgreSQL administration, configuration, performance tuning and maintenance.
• Strong relational database design, normalization and modern data modeling techniques.
• Advanced SQL skills: complex queries, large datasets, data quality validation.
• Experience building, testing and maintaining end-to-end ETL pipelines.

Responsibilities

• Administer, configure, and maintain PostgreSQL database environments.
• Architect scalable relational database schemas in collaboration with clients.
• Model data and analyze structures to ensure data integrity across systems.
• Design, build, and deploy ETL workflows to move data to analytics databases.
• Monitor and optimize query performance and system health.
• Serve as a liaison between developers, data scientists, and analysts.

Skills

PostgreSQL administration

SQL proficiency

Data modeling

ETL development

Data engineering

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

AWS

Azure

GCP

MongoDB

CI/CD tooling

Job description

Deloitte is seeking an experienced Database Engineer to join our AI & Engineering team in the United States. You will administer PostgreSQL environments, design scalable data models, and deliver end-to-end ETL pipelines for client projects.

Responsibilities include performance tuning, data integrity validation, and collaborating with developers, data scientists, and analysts. Travel approx. 10% may be required; sponsorship may be available for eligible candidates.