Senior Database Engineer

Total Quality Logistics; Tampa (FL); On-site; USD 85,000 - 120,000; Full time

Job summary

Total Quality Logistics in Tampa, FL is seeking a Database Engineer to partner with development teams across the SDLC. The role focuses on SQL Server with MongoDB/Elasticsearch exposure and aims to pre-empt performance/stability issues early in development.

You will design schemas, optimize queries, and enforce database standards while collaborating with DevOps and QA to ensure scalable in-house systems. Strong communication and learning aptitude are essential.

Qualifications

• Bachelor's degree or higher or relevant work experience.
• Excellent verbal and written communication skills.
• 3–5 years using SQL Server or other relational databases.
• 1–3 years using MongoDB, Elasticsearch or NoSQL databases.
• Familiar with database design, data modeling, and normalization.
• Experience with ORM (Entity Framework).
• Familiar with containerization/orchestration (Docker/Kubernetes/Tilt).
• Familiar with DevOps practices and tools (Git, Azure DevOps, Pipelines).
• Experience with scripting languages (Python, PowerShell).
• Exposure to AI models to accelerate growth.

Responsibilities

• Collaborate with app teams to deliver robust OLTP applications.
• Provide expertise in schema design, indexing, and query optimization.
• Select and implement DBMS platforms based on data needs and availability.
• Create and enforce database standards for security and access methods.
• Conduct performance and stress testing with dev and performance teams.
• Translate data needs into structured requests with timely delivery.
• Troubleshoot database issues in non-prod environments.
• Coordinate with DBA teams to ensure scalable infrastructure.

Skills

Excellent communication skills

Able to learn new tools/technologies

Scripting for automation (Python,Power

Education

Bachelor's degree or higher

Tools

SQL Server

MongoDB

Elasticsearch

Entity Framework

Docker

Kubernetes

Tilt

Git

Azure DevOps

Pipelines

Python

PowerShell

Job description

About the Role

The Database Engineer will be working closely with development teams during the design, development, testing and implementation of in-house application code primarily supporting their data storage and data access needs. While the focus will be on SQL Server, expertise in MongoDB, Elasticsearch and other DBMS platforms is crucial in supporting our ability to modernise and grow. The goal of this role is to be more proactive by addressing database performance and stability earlier on in the SDLC.

What You Will be Doing:

• Partner with application development teams to ensure the delivery of robust, data-intensive OLTP applications.


• Provide technical expertise(e.g.schema design, query optimization, indexing, stress testing, etc)in SQL Server, MongoDB, Elasticsearch, and other DBMS platforms.


• Assist in understanding and implementing the proper database platform based on data storage, data retrieval, and availability requirements.


• Create and enforce database standards pertaining to nomenclature, security, and access methods (paging, caching, etc).


• Conduct performance/stress testing in partnership with App Dev and Performance Engineers.


• Identify and translate the data needs of development teams into structured requests ensuring timely delivery.


• Ad hoc troubleshooting of database related issues in non-prod.


• Liaise with the Database Administration team to guarantee the infrastructure can support current and future application development.

What You Will Need:

• Bachelor's degree or higher is preferred or relevant work experience.


• Exceptional aptitude for learning new tools/technologies.


• Excellent verbal and written communication skills.


• Experience with ORMs such as Entity Framework.


• 3 to 5years of professional experience using SQL Server or other relational database platforms.


• 1 to 3years of professional experience using MongoDB, Elasticsearch or other NoSQL database platforms.


• Knowledge of database design principles, data modeling, and normalization.


• Familiarity with containerization/orchestration tools (e.g., Docker, Kubernetes, Tilt).


• Familiarity with DevOps practices and tools (e.g.git, Azure Devops, Pipelines).


• Experience with scripting languages (e.g.Python, PowerShell) for automation tasks.


• Exposure to and understanding of AI models to accelerate growth (e.g. Custom skills, tool sets,etc)


• In-depth knowledge of performance-tuning queries and optimizing indexes.

Where you'll be: 601 South Harbour Island Blvd., Suite 230, Tampa, FL 33602

Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.