Senior Database Engineer

Jobtailor; Arizona; On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking an experienced Database Engineer to design, implement, and optimize MongoDB, PostgreSQL, and YugabyteDB solutions in a fast-paced environment.

You will collaborate with cross-functional teams, support Agile sprint planning, perform root-cause analyses, and influence platform direction through data modeling and performance tuning. This role requires strong communication and hands-on leadership to deliver scalable, reliable data platforms.

Qualifications

• 4+ years of database engineering experience.
• 4+ years of logical and physical data modeling experience.
• 4+ years supporting highly available, distributed database systems.
• 4+ years supporting large-scale distributed projects and migrations using Agile / SDLC methodologies.
• 4+ years hands-on with MongoDB, PostgreSQL or YugabyteDB.

Responsibilities

• Provide advanced technical expertise for planning, analysis, design, implementation, maintenance, and control of database platforms.
• Partner with DBA teams, architecture, product teams to deliver scalable solutions.
• Support sprint and release planning using Agile methodologies.
• Support complex database initiatives across architecture, integration, and data modeling.
• Troubleshoot complex database issues, drive root-cause analysis and preventive improvements.
• Recommend improvements to application and database processing, performance, and design.

Skills

Database Engineering

MongoDB

PostgreSQL

YugabyteDB

Agile Methodologies

Logical Data Modeling

Physical Data Modeling

Distributed Database Systems

Database Performance Optimization

Root-Cause Analysis

Effective Communication

Problem Resolution

Collaboration

Database Architecture

Data Integration

Data Migration

SDLC Methodologies

Sprint Planning

Job description

• Provide advanced technical expertise for the planning, analysis, design, implementation, maintenance, and control of MongoDB, PostgreSQL, and YugabyteDB database platforms.
• Partner with DBA teams, architecture, Scrum Masters, product teams, and supporting organizations to deliver efficient, scalable, and consistent solutions.
• Support successful sprint and release planning using Agile methodologies.
• Support successful execution of complex and high-impact database initiatives, often involving multiple disciplines and business groups, including architecture, integration, and data modeling.
• Perform deep-level troubleshooting and problem resolution for complex database issues, driving root-cause analysis and preventive improvements.
• Recommend improvements to application and database processing, performance, and design.
• Act as a trusted technical advisor, consulting with application and platform teams to influence enterprise-level database architecture and strategy.
• Evaluate, design, and validate next-generation database technologies and contribute recommendations toward future platform direction.
• Manage multiple priorities and competing deadlines; participate in on-call rotations and provide production support when required.
• Communicate effectively with management, application teams, vendors, and systems administrators.

Requirements

• 4+ years of Database Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
• 4+ years of logical and physical data modeling experience
• 4+ years supporting highly available, distributed database systems
• 4+ years supporting large-scale distributed projects and migrations using Agile / SDLC methodologies
• 4+ years of hands‑on experience with MongoDB, PostgreSQL or YugabyteDB

Core Competencies

Demonstrates advanced technical expertise in database engineering, focusing on MongoDB, PostgreSQL, and YugabyteDB, while effectively collaborating with cross-functional teams to deliver scalable solutions and drive database architecture strategy.

Highest-signal resume keywords

• Database Engineering
• MongoDB
• PostgreSQL
• YugabyteDB
• Agile Methodologies

ATS Optimization Keywords

Hard Skills

• Logical Data Modeling
• Physical Data Modeling
• Distributed Database Systems
• Database Performance Optimization
• Root-Cause Analysis

Soft Skills

• Effective Communication
• Problem Resolution
• Collaboration

Industry Keywords

• Database Architecture
• Data Integration
• Data Migration
• SDLC Methodologies
• Sprint Planning