SQL Server Data Engineer - Hybrid

Requirements:

• Experience with SQL Server and OLTP systems, including relational design, normalization, indexing, stored procedures, and high-concurrency workloads
• Knowledge of transactions and performance tuning, including ACID properties, isolation levels, locking, deadlocks, query latency, and contention troubleshooting
• Experience designing REST API data flows, including reads and writes, request validation, error handling, retries, rate limiting, and idempotency
• Familiarity with Azure SQL Database, Azure API Management, and Azure Blob Storage
• Experience with SSIS or similar integration tools, ETL for migration or batch synchronization, and concepts such as concurrency, caching, and service scalability
• Ability to collaborate with backend and application engineers

Responsibilities:

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

Technologies:

• API
• Azure
• Backend
• ETL
• Support
• REST
• SQL
• SSIS
• Cloud

More

We are seeking a SQL Server Data Engineer for a long-term contract based in Dallas, Texas, with a hybrid work arrangement. This role focuses on operational systems and collaboration with backend and application engineering teams. The position is available on a W-2 basis only; C2C arrangements are not accepted.

last updated 43 week of 2026