Staff Software Engineer, Data Infrastructure
Peregrine Technologies
$200,000 - $275,000 / year
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Description
Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.
Team
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.
Role
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.
About You
- 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
What We Look For
- 8+ years of experience architecting and operating large-scale data infrastructure systems in production environments
- Deep expertise with open table formats, particularly Apache Iceberg — including schema evolution, partitioning strategies, compaction, and time travel
- Extensive hands-on experience with Apache Spark for batch and streaming data processing at scale
- Strong background in real-time data integration and stream processing, leveraging technologies such as Apache Kafka, Apache Flink, or equivalents
- Solid experience with data pipeline orchestration using Airflow or similar tools
- Strong software engineering fundamentals in Python and/or Scala, with a track record of writing production-quality code
- Extensive experience with AWS or comparable cloud platforms, including S3-based data lake architectures
- Experience with Kubernetes and containerized deployment of data workloads
- Degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Located in San Francisco and open to working in office
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, certifications or licenses, and specific work location. Information on the benefits offered is here.
Peregrine Technologies is committed to creating an inclusive environment for all employees. We celebrate diversity and are a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
About this role
Peregrine Technologies is seeking a Staff Software Engineer to own the data infrastructure layer that processes massive volumes of real-time operational data for public safety and government agencies. In this senior individual contributor role, you would architect and build systems for ingesting, storing, and serving data at petabyte scale across diverse customer environments, working with technologies like Apache Iceberg, Spark, Kafka, and AWS GovCloud. The position demands deep technical judgment on foundational infrastructure decisions—from designing high-throughput integration platforms to optimizing distributed pipelines and establishing patterns that raise quality standards across the organization.
This role suits someone with 8+ years of production experience building large-scale data systems, particularly with hands-on expertise in Apache Iceberg and real-time stream processing. You should have strong fundamentals in Python or Scala, solid experience with Airflow orchestration and Kubernetes deployments, and a track record of writing durable, operationally sound code. The work is based in San Francisco and requires in-office presence.
The position offers a salary range of $200,000–$275,000 plus benefits and equity, and appeals to engineers who thrive solving hard, open-ended infrastructure problems and take pride in systems they operate themselves. Collaboration with platform teams and direct exposure to how customers use the product are built into the engineering culture here.
How this employer is doing
solid
- H1B: Sponsors Visas
- Leadership Change
- Recently Raised Funding
- Sponsors Visas
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Pay for this role
$200,000 to $275,000 per year
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