Peregrine Advisors is a firm founded on a simple conviction: the best solutions come from the people closest to the problem, given real ownership and the tools to deliver. We are a data and technology innovation hub and a Benefit Corporation working at the center of the federal government's mission to deliver for client stakeholders and the US public, looking for highly motivated contributors who thrive when trusted to own a hard problem and equipped to deliver the solution.
Your first assignment
Your first assignment is to build the pipelines that move a federal agency's data from source to platform on Amazon Web Services (AWS): ingest, process, store, and keep it clean and trustworthy at scale. The work is real, hard, and it matters. It is also where you start, not the shape of your career here: we hire people, not seats, and we move our best to where the hardest problems are.
What you'll build
Ingest-process-store pipelines on AWS: Spark-based extract, transform, and load (ETL) with Glue, Amazon EMR, Lambda, and Step Functions, in Python and PySpark.
A data lake that feeds the platform: S3 design (Parquet, partitioning, lifecycle) into Apache Iceberg tables, PostgreSQL on Amazon Aurora, and DynamoDB, with Trino for federated SQL across them, plus event orchestration, secrets and monitoring, and data quality, validation, and lineage built in.
In time, the firm itself: new capabilities, tools, and lines of business you help spin up.
Who you are
You are a data engineer who is serious about the craft and eager to go deeper. You care as much about whether the data is trustworthy as whether it arrives, and you do your best work alongside people who push you. You experiment, fail, learn, and repeat quickly. You would rather own an outcome than be handed a task.
What you bring
Hands-on data engineering on AWS: Spark ETL (Glue, EMR), Python and PySpark, and S3 data-lake design feeding the platform stores.
The reliability craft around it: event orchestration, data quality and lineage, monitoring, and infrastructure-as-code.
The judgment to build in a regulated environment where accuracy and auditability are not optional.
What you'll need
Sole United States citizenship and the ability to obtain a Public Trust determination are required for this initial engagement. This is a hybrid role based in the Washington, DC metropolitan area, and it requires commuting into DC regularly. Everything else, the years, the certifications, the specific tools, we ask in the application and get into during the interview
What we offer
A high-performing team of developers, engineers, data scientists, architects, and strategists solving complex, real-world problems, with work that runs from strategy formulation to hands-on implementation. We develop people across roles and clients, with extensive onboarding and sponsored training and professional development. And Peregrine has been a Benefit Corporation from day one: public value is built into the work itself, not bolted on afterward. Work worth your best years.
What we commit to
As a Benefit Corporation, our commitment runs three ways: real, measurable value for our clients; government that works better for the public; and a team that makes everyone in it better.
We hire people who want to help build the firm, not just work at it. If that is you, apply.
Peregrine Advisors is an equal opportunity employer.
Peregrine exclusively works with OPEN Data Jobs to recruit our team. Register with OPEN Data Jobs to be considered for this opening and future roles.
Requirements
4+ years of data engineering experience
Bachelor's degree
Spark ETL on AWS (Glue, Amazon EMR) in Python and PySpark
S3 data-lake design (Parquet, partitioning, lifecycle) feeding Apache Iceberg tables, Amazon Aurora PostgreSQL, and DynamoDB
Event orchestration (Lambda, Step Functions, SQS/SNS) with secrets management and monitoring
Data quality, validation, and lineage
Infrastructure-as-code (CloudFormation or Terraform)
Basic proficiency in writing, PowerPoint, and Excel
Preferred
Master's degree in a relevant field
Trino or comparable federated SQL across the lake and relational stores
Apache Ranger-governed access
Legacy ETL migration (for example DataStage)
Federal information technology or high-volume data experience
Familiarity with AI-assisted developer tooling