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# Senior Database Developer, AWS Data Platforms

- **Company:** Leidos Holdings, Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Cloud Engineering, Databases, Continuous Integration, Data as a Services, Data Integration, Extract Transform Load (ETL), Data Migration, Data Security, Database Development, Disaster Recovery, Amazon DynamoDB, Monitoring of Systems, Identity and Access Management, PostgreSQL, Performance Tuning, Microsoft PowerPoint, SQL Stored Procedures, SQL Databases, Datadog, Enterprise Software Applications, System Availability, Indexer, Cloudformation, Database Migration, Amazon Relational Database Service, AWS Data Analytics, Cloudwatch, Physical Design, Terraform, Splunk, Devsecops, Amazon Redshift
- **Published:** September 27, 2026
- **Apply:** https://www.careerjet.com/jobad/us453e7f3a3b6fb31f8a74373fdc55f749

## About the Role

* 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 (DevSecOps) practices, with monitoring, backup and recovery, high availability, and disaster recovery
 * Proficiency in writing, PowerPoint, and Excel

## Description

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 project
Your 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 at scale. You 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., * 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 CloudWatch, Performance Insights, Datadog, or Splunk
 * AWS Redshift, Glue, Database Migration Service (DMS), or Lake Formation, with Infrastructure as Code, including Terraform, CloudFormation, and the AWS Cloud Development Kit (CDK), and artificial intelligence (AI)-assisted development tooling

Who you are
You make databases fast and keep their data trustworthy. You have designed and tuned large data platforms and understand why the physical model matters. You experiment, fail, learn, and repeat quickly. You would rather own an outcome than be handed a task.
What you bring

 * Deep, hands-on ownership of a database layer spanning Amazon Aurora (PostgreSQL-compatible), DynamoDB, and S3, including physical design, tuning, data modeling, and database-architecture decisions within the broader platform.
 * The practical craft of stored procedures, schema migration, S3 load patterns into the platform stores, and governed access.
 * Sound judgment in a regulated environment where accuracy and auditability are not optional.

You adapt your development workflow as AI tools evolve, using them to help implement, test, and improve the components you own. You give the tools clear context, review and test their output, and remain accountable for the code you deliver.
When we talk
Be prepared to discuss a difficult problem you worked through, the decisions you made, what happened, and what you learned.


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