About Peregrine
Peregrine Advisors is a rapidly growing AI and data innovation hub helping government solve hard problems and deliver better outcomes. We work across the full lifecycle—from strategy and governance through architecture, engineering, analytics, AI, visualization, and training—for clients including the SEC, PCAOB, DDOT, and DCAA.
Our clients describe our support as “absolutely excellent” and our people as “instrumental to organization’s success.” Winner of the United Nations COP27 Datathon, our work has earned all Exceptional CPARS ratings, SEC Chair’s Awards, the SEC Vision Award, and recognition from FDA leadership.
We are also built differently. Peregrine is the first and only social enterprise organized as a Benefit Corporation and SBA 8(a) company focused on AI and data for government. We believe business success should create client value, social value, and opportunity for our people.
As we enter our next stage of growth, we need dependable, motivated, and skilled people who have a combination of intellectual curiosity and intellectual courage. With new clients, larger programs, and expanding responsibilities, the people joining Peregrine now will have the opportunity to help shape the company we become.
People first. Ownership always.
We solve problems through people, process, and technology—in that order. Technology matters, but people make transformation happen. That principle defines our culture. Trust and motivation are the foundational pillars of delivery on which our skills stand. We hire people we can trust, who care deeply about what they do, take ownership, learn quickly, help one another, and refuse to walk past a problem because it belongs to someone else.
At Peregrine, you are not joining simply to fill a position. You are joining a team, taking ownership of a mission, and helping build a company. If that excites you, we should talk.
At Peregrine Advisors, you will own the data pipelines and databases behind a mission-critical federal enterprise data platform: their design, their performance and reliability, and the integrity of the data in them. But we hire people, not seats. As the work evolves, you will move to where the hardest problems are.
This is a hybrid work arrangement based in the Washington, DC metropolitan area, and the commuting cadence varies by assignment. The initial engagement requires United States citizenship and the ability to obtain a Public Trust determination.
Your first project
Your first project will likely have you owning the extract, transform, and load (ETL) and extract, load, and transform (ELT) processes, logical and physical data models, physical data configurations, and the performance of that layer under real query volume. Depending on the assignment, you may:
Design and maintain databases that scale, in Amazon Aurora (PostgreSQL-compatible), Amazon DynamoDB, and the platform's other data stores.
Design the logical and physical data models, and build the schemas, indexes, views, stored procedures, and functions that implement them.
Write and tune complex Structured Query Language (SQL), reading execution plans and adjusting indexes until high-volume queries hold up.
Build and support extract, transform, and load (ETL) and extract, load, and transform (ELT) pipelines and Amazon Simple Storage Service (S3) loads that keep the data accurate and complete.
Track down performance, locking, replication, and data consistency problems.
Keep the databases available and recoverable through monitoring, capacity planning, backup and recovery, high availability, and disaster recovery.
Secure them with least-privilege access, and keep them auditable.
Work with architects, developers, and data engineers, and move database changes through continuous integration and continuous delivery (CI/CD) and infrastructure as code.
You deliver a database layer analysts and systems can trust at scale. You automate the data-integration and load patterns that would otherwise be hand-run, and…