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Salary
≈ $93k – $177k per year (Estimated)
Location
In office (Plano)
Seniority
Senior · 7+ years exp

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 13, 2026. Ltm scores B on the Alion truth index.

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Ltm

LTIMindtree is a worldwide technology consulting and digital solutions company that empowers businesses in a variety of sectors to get to the future faster by combining engineering DNA and tech expertise.

Job Overview

We are hiring a Mid Level Data Engineer to design and build OLTP Online Transaction Processing systems and pipelines. This role focuses on transactional system design API driven data flows and building reliable high performance data services. The ideal candidate thinks in terms of system architecture transactional integrity and low latency data handling rather than scheduled data warehouse loads.

Key Responsibilities

Design build and maintain OLTP pipelines for Realtime or near Realtime transactional data processing.

Build and consume APIs to handle data ingestion updates and retrieval from operational systems.

Design SQL Server database schemas optimized for transactional workloads normalization indexing concurrency control and locking behaviour.

Write and optimize SQL queries stored procedures and transaction logic for high throughput low latency operations.

Ensure data consistency atomicity and integrity ACID compliance across services.

Develop ETL processes as needed to support data migration system integration or occasional batch sync between transactional systems.

Handle API request response cycles validation error handling retries and rate limiting on data write operations.

Monitor system performance diagnose issues deadlocks query latency contention and tune for scale.

Deploy and manage data services using Azure Azure SQL Database API Management Azure Blob.

Use SSIS SQL Server Integration Services for occasional data migration or integration tasks.

Collaborate with backend engineers to integrate data layers into application services.

Implement validation idempotency checks and integrity constraints at the transactional level.

Create and maintain documentation for system architecture API contracts and database schemas.

Requirements

Bachelors degree in Computer Science Information Technology or a related field or equivalent practical experience.

7 to 10 years of experience in SQL Server and relational database design for OLTP systems normalization indexing transactions isolation levels.

Solid experience building or consuming APIs REST for data read write operations.

Working knowledge of Azure services Azure SQL Database API Management Azure Blob Storage.

Experience working with transactional data in high concurrency production environments.

Experience writing and optimizing SQL stored procedures for transactional systems.

Handson experience with SSIS or similar tools for data migration integration tasks.

Working knowledge of ETL development for occasional batch sync or migration needs.

Understanding of system design fundamentals concurrency caching request handling and service scalability.

Experience collaborating with backend application engineers to integrate data layers into services.

Strong analytical troubleshooting and communication skills.

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