SQL Server Data Engineer - Hybrid

QTech • Dallas, TX

23h • Hybrid

About The Position

Design SQL Server transactional data systems and real-time or near-real-time pipelines. Build API-driven data flows, optimize schemas and stored procedures, preserve transactional integrity, troubleshoot concurrency issues, and support Azure-based data services and occasional integrations.

Requirements

• SQL Server / OLTP: Relational design, normalization, indexing, stored procedures and high-concurrency transactional workloads.
• Transactions and Tuning: ACID, isolation levels, locking, deadlocks, query latency, and contention troubleshooting.
• REST API Data Flows: API-based reads/writes, request validation, error handling, retries, rate limiting and idempotency.
• Azure Services: Azure SQL Database, Azure API Management and Azure Blob Storage.
• Integration and Design: SSIS or similar integration tools; ETL for migration/batch synchronization; concurrency, caching, and service scalability.

Nice To Haves

• Emphasis on operational systems.
• Collaboration with backend/application engineers.

Responsibilities

• Design SQL Server transactional data systems and real-time or near-real-time pipelines.
• Build API-driven data flows.
• Optimize schemas and stored procedures.
• Preserve transactional integrity.
• Troubleshoot concurrency issues.
• Support Azure-based data services and occasional integrations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed