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SQL Server Database Engineer (FinTech)

Tranzeal, Inc.Los Angeles, CA🇺🇸United StatesPosted 6 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Tittle – SQL Server Database Engineer (FinTech)

Location- Los Angeles, CA /Hybrid 3 days onsite 2 days remote

Contract – 12+ months

 

 

Job Summary

We are looking for a Database Engineer with deep expertise in SQL Server and Azure cloud technologies to join our product engineering team. This role is ideal for someone who thrives in a fast-paced, AI-enhanced SDLC and is passionate about building scalable, secure, and high-performance applications. 

 

Key Responsibilities

  • Design, implement, and optimize SQL Server databases for high availability, scalability, and performance. 
  • Lead and support Azure migration efforts for legacy databases and data services. 
  • Develop and maintain cloud-native data solutions using Azure SQL, Azure Data Factory, Cosmos, and other relevant services. 
  • Operate in an AI driven SDLC environment

Required Qualifications

  • 6+ years of experience in database engineering with a focus on SQL Server
  • Strong understanding of database design, indexing, query optimization, and stored procedures. 
  • Strong experience in Database Modeling using 3rd Normal form with solid experience in data architect.  
  • Have 3-5 years experience in No SQL experience such as COSMOS.   
  • Having solid knowledge of SQL Internals in Azure SQL Database Hyperscale 
  • Strong experience in optimizing database queries and stored procedures including monitoring database performance both system and database standpoint.  
  • Has strong experience using SQL Server side Trace. 
  • Proven experience with Azure SQLAzure Data Factory, and cloud-native data architectures
  • Expertise in reviewing stored proc performance, reading execution plans and making optimizations 
  • Designing and writing high performance SQL queries and table designs 
  • Familiarity with AI code assistants like GitHub Copilot, or similar tools. 
  • Knowledge in distributed databases and ELT tools, data stream processing tools is a big plus.

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Skills

SQL
SQL Server
Azure

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