Senior Database Developer, AWS, PostgreSQL

Jobtailor

Washington (District of Columbia)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Jobtailor in Washington, DC is seeking an experienced database developer to own the enterprise data platform layer for a federal agency. You will design physical structures, tune large-scale queries, and develop robust data models while implementing schema migrations and secure access.

Responsibilities include coordinating with engineers, data scientists, and architects to tackle complex client problems and to evolve capabilities within the data platform environment.

Qualifications

  • 7+ years of database development and administration experience.
  • Bachelor’s degree required.
  • Sole United States citizenship with ability to obtain a Public Trust determination.
  • Hands-on experience with Amazon Aurora (PostgreSQL-compatible), DynamoDB, and S3 with Apache Iceberg tables.
  • Physical design at scale: partitioning, indexing, and storage layout.
  • Query and EXPLAIN-plan tuning on large datasets.
  • Logical and physical data modeling.
  • PL/pgSQL stored procedures.
  • S3 load patterns into relational and Iceberg stores.
  • Familiarity with Schema migration tooling such as AWS SCT.

Responsibilities

  • Own the database layer of a federal agency’s enterprise data platform.
  • Design physical database structures, including partitioning and indexing at scale.
  • Tune queries and execution plans on large datasets.
  • Develop durable logical and physical data models.
  • Build and maintain schema migrations.
  • Implement S3 load patterns into relational and Iceberg stores.
  • Develop stored procedures.
  • Establish governed access using Apache Ranger controls.
  • Contribute to new capabilities, tools, and lines of business.
  • Collaborate with developers, engineers, data scientists, architects, and strategists on complex client problems.

Skills

Database Development
Physical Design
Query Tuning
Data Modeling
Schema Migration
S3 Load Patterns
Partitioning
Indexing
Execution Plans
Access Controls

Education

Bachelor’s Degree

Tools

Apache Ranger
AWS Schema Conversion Tool
Neptune
Neo4j

Job description

  • Own the database layer of a federal agency’s enterprise data platform
  • Design physical database structures, including partitioning, indexing, and storage layout at scale
  • Tune queries and execution plans on large datasets
  • Develop durable logical and physical data models
  • Build and maintain schema migrations
  • Implement S3 load patterns into relational and Apache Iceberg stores
  • Develop stored procedures
  • Establish governed access using Apache Ranger access controls
  • Contribute over time to new capabilities, tools, and lines of business
  • Collaborate with developers, engineers, data scientists, architects, and strategists on complex client problems
Requirements
  • 7+ years of database development and administration experience
  • Bachelor’s degree
  • Sole United States citizenship
  • Ability to obtain a Public Trust determination
  • Hands-on experience with Amazon Aurora (PostgreSQL-compatible), DynamoDB, and S3 with Apache Iceberg tables
  • Physical design at scale: partitioning, indexing, and storage layout
  • Query and EXPLAIN-plan tuning on large datasets
  • Logical and physical data modeling
  • PL/pgSQL stored procedures
  • S3 load patterns into relational and Iceberg stores
  • Basic proficiency in writing, PowerPoint, and Excel
  • Preferred: Schema migration tooling, including AWS Schema Conversion Tool
  • Preferred: Apache Ranger access controls
  • Preferred: Neptune or Neo4j
  • Preferred: Federal information technology or high-volume transaction experience
  • Preferred: Familiarity with AI-assisted developer tooling
Core Competencies

Demonstrates extensive experience in database development and administration, focusing on physical design, query tuning, and data modeling. Proficient in implementing and managing data access controls and schema migrations within enterprise data platforms.

Highest-signal resume keywords
  • Database Development
  • Amazon Aurora
  • DynamoDB
  • Apache Iceberg
  • PL/pgSQL Stored Procedures
Hard Skills
  • Database Administration
  • Physical Design
  • Query Tuning
  • Data Modeling
  • Schema Migration
  • S3 Load Patterns
  • Partitioning
  • Indexing
  • Execution Plans
  • Access Controls
Soft Skills
  • Collaboration
  • Communication
Certifications & Qualifications
  • Bachelor’s Degree
  • Public Trust Determination
Industry Keywords
  • Federal Agency
  • High-Volume Transactions
  • Enterprise Data Platform
  • AI-Assisted Developer Tooling
Tools & Technologies
  • Apache Ranger
  • AWS Schema Conversion Tool
  • Neptune
  • Neo4j
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