Staff Software Engineer, Data Infrastructure

As an engineering team, we believe strongly that empathy improves our solutions. Seeing how people use the product is a priority and the way we get to the right answer. Engineers will have the opportunity to work closely with our team onsite to understand the variety of use cases that Peregrine serves.

We value both ownership and collaboration—you will take full responsibility for major features and work closely with other engineers to drive them to completion. We believe that humility and empathy are essential for building the right solutions—you will collaborate directly with our deployment team and users as we iterate to solve their problems. Perseverance and creativity are crucial to executing our vision.

We are looking for a Staff Data Infrastructure Engineer to join our growing team, where you will have deep ownership over the data layer that underpins everything Peregrine does. You will architect and build the systems that ingest, store, and serve massive volumes of real-time operational data — enabling our customers to make critical decisions with speed and confidence.

This is a senior individual contributor role for someone who thrives on hard technical problems and brings the experience and judgment to shape foundational infrastructure decisions. You will tackle a wide range of complex challenges, including:

Designing and operating a high-throughput, real-time data integration platform across diverse customer environments

Architecting a scalable open table format layer for reliable data storage at petabyte scale

Building and optimizing distributed data processing pipelines with Apache Spark and adjacent streaming technologies

Driving performance, reliability, and cost efficiency across the full data infrastructure stack

Collaborating with platform and product engineering teams to define data contracts, schemas, and integration patterns

Establishing best practices, tooling, and patterns that raise the quality bar for data infrastructure across the organization

Our stack is constantly evolving but is built on AWS GovCloud, Apache Iceberg, Apache Spark, Apache Kafka, Airflow, Kubernetes, and more.

Deep passion for data infrastructure — you care about building systems that are correct, fast, and resilient at scale

Thrive on ambiguity and are energized by defining the right solution to hard, open-ended problems

Strong technical vision with the ability to translate complex data requirements into clean, durable infrastructure designs

Desire to own significant portions of the data stack end-to-end, from ingestion to serving

Committed to operational excellence — you build things you’re proud to operate