Data Engineer (Temporal & Apache Kafka required)

About […]

[…] is a data and AI consultancy that helps clients modernize, monetize, and operationalize their data to generate lasting value. They pride themselves on their deep industry and technology expertise, ensuring that they drive and sustain the adoption of new capabilities. […] is committed to aligning their team with their clients' culture, ensuring a successful partnership by bringing the right mix of talent and skills for high return on investment.

[…] has earned recognition as one of the "Best Small Firms to Work For" by Consulting Magazine, receiving this accolade nine times, most recently in 2026. They have also been honored as a “Top Workplace” by the Washington Post, “Best Places to Work” by the Washington Business Journal, and “Best Places to Work” by Virginia Business.

We are seeking an experienced Data Engineer to help design, build, and scale our next-generation event-driven data platforms. In this role, you will be instrumental in bridging high-throughput distributed streaming with complex, fault-tolerant workflow orchestration and strict data governance.

You will work extensively with Apache Kafka for real-time event streaming and Temporal for durable workflow orchestration, building resilient, distributed, stateful workflows and data pipelines. A key focus will be designing data schemas and implementing automated validation to enforce reliable data contracts across distributed systems. You will also develop bat