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 design and build the data layer for a federal enterprise platform. 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 taking responsibility for the accuracy and performance of your assigned components. Depending on the assignment, you may:
Design database schemas, and write the views, stored procedures, functions, and Structured Query Language (SQL) queries that run on them.
Build and maintain data pipelines and extract, transform, and load (ETL) and extract, load, and transform (ELT) processes, including loads from Amazon Simple Storage Service (S3).
Make queries and databases fast enough for high-volume workloads.
Help model data across Amazon Web Services (AWS) stores such as Amazon Aurora (PostgreSQL-compatible), Amazon DynamoDB, and S3.
Keep data accurate and secure, with governed access and changes that can be audited.
Work out data access patterns and integrations with developers, architects, and data engineers.
Where the work allows, use artificial intelligence (AI)-assisted tools for query, pipeline, and troubleshooting work, and review and validate what they produce.
You deliver database components accurate and fast enough that analysts and systems trust them. You automate the loads and checks that used to be run by hand, and you build models that keep working as the platform grows.
Requirements
4+ years of data engineering, database development, database engineering, software development, or comparable practical experience
Bachelor's degree
SQL skills across complex queries, views, stored procedures, and functions, together with relational design, normalization, and data modeling
Working expertise in Amazon Aurora (PostgreSQL-compatible), covering schema design, stored…