Database Developer

Probal DasGuptaWashington DC, WA
Hybrid

About The Position

We are building a team for one of the U.S. Federal Government's largest technology modernization programs, underpinning the U.S. capital markets. Built on AWS and leveraging an AI-powered software engineering platform, this program offers a unique opportunity to gain hands-on experience with next-generation AI, Agentic AI, cloud technologies, and AI-driven engineering. If you are looking for technically challenging work, exceptional learning, and a résumé-defining opportunity with national impact, I would love to connect.

Requirements

  • 3+ years of database development experience.
  • Experience developing database solutions for enterprise applications.
  • Experience working within Agile software development environments.
  • SQL development.
  • Database design and development.
  • Data modeling fundamentals.
  • Relational and/or NoSQL databases.
  • Database performance tuning.
  • AWS database services (Aurora, RDS, DynamoDB, or similar).
  • ETL/ELT development.
  • Database security and data integrity.
  • Strong problem-solving and communication skills.
  • U.S. work authorization.
  • Ability to obtain a Public Trust clearance.

Nice To Haves

  • Amazon Redshift experience.
  • Experience developing data pipelines on AWS.
  • Federal government or other high-volume transaction system experience.
  • Familiarity with AI-assisted database development tools.
  • Experience supporting cloud-native application architectures.
  • Knowledge of CI/CD practices supporting database deployments.

Responsibilities

  • Design, develop, and maintain relational and NoSQL database schemas supporting enterprise application workloads.
  • Develop SQL queries, stored procedures, database objects, and data access components.
  • Build, maintain, and optimize ETL/ELT pipelines supporting application and reporting requirements.
  • Optimize database performance through indexing, query tuning, and execution-plan analysis.
  • Support logical and physical data modeling activities across AWS database platforms.
  • Develop database solutions using AWS services including Amazon Aurora, Amazon RDS, DynamoDB, and Amazon S3.
  • Ensure database security, integrity, backup, recovery, and compliance with enterprise standards.
  • Collaborate with application developers, architects, and DevOps engineers to implement efficient data access strategies.
  • Troubleshoot production database issues and support ongoing performance improvements.
  • Utilize AI-assisted development tools to improve database development productivity and code quality.
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