Senior Database Developer, AWS Data Platforms
Listed on 2026-09-25
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IT/Tech
Data Engineering, AWS
At Peregrine Advisors, you will own the database layer of a federal agency's enterprise data platform. But we hire people, not seats. As the work evolves, you will learn new systems and tools, take on greater responsibility, and help develop the firm's capabilities, tools, and lines of business. We move our best to where the hardest problems are.
This is a full-time W-2 position with a salary of $150,000 to $170,000 per year. It 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.
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.
Your first projectYour first project will likely have you owning the physical design, the data models, and the performance of that layer under real query volume. Depending on the assignment, you may:
- Design and tune Amazon Aurora (PostgreSQL-compatible) and DynamoDB schemas, including indexing and partition and key design for large datasets.
- Tune queries and execution plans against high volumes, resolving slow queries, locking, and deadlocks.
- Build logical and physical data models that hold up within the wider platform architecture.
- Develop ETL/ELT and data-integration patterns across Aurora, DynamoDB, and Amazon Simple Storage Service (S3), and set the security and access controls a governed platform requires.
You deliver a database layer analysts and systems can trust automate migration and load patterns that would otherwise be hand-run, and you build the access controls that keep a governed platform governed.
This is where you start, not the shape of your career here.
- 7+ years of hands‑on database development and database engineering experience supporting enterprise applications
- Bachelor's degree
- Expertise with Amazon Aurora (PostgreSQL-compatible), including schema design, stored procedures and functions, indexing, and execution‑plan analysis
- Experience with Amazon DynamoDB, including data modeling, partition and key design, and Global and Local Secondary Indexes (GSIs and LSIs)
- Advanced Structured Query Language (SQL) across complex queries, views, stored procedures, and functions, plus relational design, normalization, and data modeling
- Query and performance tuning across slow queries, locking, deadlocks, indexing, and execution plans
- Extract, transform, and load (ETL) and extract, load, and transform (ELT) development and data integration across Amazon Web Services (AWS) data services, including Amazon Relational Database Service (RDS), S3, and data migration services
- Data security controls, including encryption, access management, auditing, and compliance
- Cloud‑native application support in AWS using continuous integration and continuous delivery (CI/CD) and development, security, and operations (Dev Sec Ops ) practices, with monitoring, backup and recovery, high availability, and disaster recovery
- Proficiency in writing, PowerPoint, and Excel
- AWS certification, such as Database Specialty, Developer Associate, or Solutions Architect
- Federal government systems requiring security controls and compliance frameworks
- High‑volume transactional processing, large‑scale data platforms, or regulatory reporting
- Database observability and monitoring tools such as Amazon Cloud Watch, Performance Insights, Datadog, or Splunk
- AWS Redshift, Glue, Database Migration Service (DMS), or Lake Formation, with Infrastructure as Code, including Terraform, Cloud Formation, and the AWS Cloud Development Kit (CDK), and artificial intelligence (AI)-assisted development tooling
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