Data Integration Engineer

Tasks

• Design and develop real-time and batch data integrations across enterprise applications and data platforms.
• Build event-driven pipelines using Apache Kafka, AWS EventBridge, Amazon SQS, AWS Lambda, and Amazon ECS.
• Develop backend services, APIs, and message consumers using C#/.NET or Java.
• Design and optimize database operations, data models, and SQL queries using PostgreSQL or Amazon Aurora PostgreSQL.
• Implement reliable messaging patterns, including retries, idempotency, duplicate handling, message ordering, and dead-letter queues.
• Validate data integrity, payload accuracy, and integration performance before and after deployments.
• Manage infrastructure using Terraform and support CI/CD pipelines.
• Leverage AI coding agents for code generation, automated testing, debugging, and code reviews.
• Troubleshoot distributed systems and production integration issues.
• Collaborate with architecture, application, and business teams to deliver robust integration solutions.

Requirements

• The ideal candidate will have strong hands-on experience with Apache Kafka, AWS, SQL/PostgreSQL, and backend development using .NET (C#) or Java, along with practical experience using AI coding agents to accelerate software development and testing.
• 5+ years of experience in data integration engineering or backend development.
• Strong programming experience in .NET (C#) or Java.
• Hands-on experience with Apache Kafka, including topics, partitions, consumer groups, offsets, and failure handling.
• Practical experience with AWS messaging, compute, and IAM services.
• Strong SQL skills and experience with PostgreSQL or Amazon Aurora PostgreSQL.
• Understanding of event-driven architecture, distributed systems, and enterprise integration patterns.
• Hands-on experience using AI coding agents for software development, testing, debugging, or code reviews.
• Strong troubleshooting, analytical,

Schedule

• 12+ Months
• Hybrid

Location

• Dallas, TX