PostgreSQL Database Engineer (Junior/Middle) ID38796

📍 Job Overview

• Job Title: PostgreSQL Database Engineer (Junior/Middle)
• Company: AgileEngine
• Location: Rosario, Santa Fe Province, Argentina
• Job Type: Hybrid
• Category: Database Administrator
• Date Posted: July 24, 2025
• Experience Level: 2-5 years
• Remote Status: On-site/Hybrid

🚀 Role Summary

• Design and implement efficient PostgreSQL schemas to support product features and scalability.
• Maintain and tune database performance, ensuring high availability and responsiveness.
• Collaborate with engineers, QA, and DevOps to streamline data flow and reliability.
• Monitor, troubleshoot, and resolve database-related issues.
• Support data integration and migration efforts across environments.
• Contribute to establishing best practices and maintaining high coding standards for data integrity and reliability.

📝 Enhancement Note: This role requires a strong focus on PostgreSQL database engineering, with a significant emphasis on performance tuning, schema design, and data integrity. Candidates should be comfortable working in a collaborative environment and have a solid understanding of data flow and reliability.

💻 Primary Responsibilities

• Database Design & Implementation: Design and implement efficient PostgreSQL schemas to support product features and scalability.
• Performance Tuning: Maintain and tune database performance, ensuring high availability and responsiveness.
• Collaboration: Collaborate with engineers, QA, and DevOps to streamline data flow and reliability.
• Troubleshooting: Monitor, troubleshoot, and resolve database-related issues.
• Data Integration & Migration: Support data integration and migration efforts across environments.
• Best Practices: Contribute to establishing best practices and maintaining high coding standards for data integrity and reliability.

📝 Enhancement Note: This role requires a deep understanding of PostgreSQL database systems, with a strong focus on performance tuning, indexing strategies, and query optimization. Candidates should be comfortable working independently and taking ownership of tasks.

🎓 Skills & Qualifications

Education: A bachelor's degree in Computer Science, Information Technology, or a related field is preferred. Relevant work experience may be considered in lieu of a degree.

Experience: Candidates must have 2+ years of experience in database engineering with a focus on PostgreSQL.

Required Skills:

• Proven experience in designing, maintaining, and optimizing complex relational database systems.
• Strong knowledge of SQL performance tuning, indexing strategies, and query optimization.
• Experience in data modeling, creating queries, functions, and ETL code.
• Solid understanding of data integrity, backups, and replication strategies.
• Familiarity with CI/CD practices in relation to database change management.
• Excellent communication skills in English (verbal and written).

Preferred Skills:

• Experience with other database systems (e.g., MySQL, MongoDB).
• Familiarity with cloud services like AWS RDS or GCP Cloud SQL.
• Knowledge of data migration techniques.
• Experience supporting backend services written in Java or other modern backend stacks.
• Exposure to DevOps practices (e.g., Docker, Kubernetes).
• Experience with these technologies: sqitch, pgtaps, dbt, metaplane, AWS glue.

📝 Enhancement Note: This role requires a strong technical skill set, with a focus on PostgreSQL database engineering and performance tuning. Candidates should have a solid understanding of data modeling, query optimization, and data integrity. Familiarity with CI/CD practices and cloud services is also beneficial.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• Demonstrate experience in designing, implementing, and optimizing PostgreSQL schemas.
• Showcase projects that highlight performance tuning, indexing strategies, and query optimization.
• Include examples of data modeling, ETL processes, and data migration techniques.
• Display a strong understanding of data integrity, backups, and replication strategies.

Technical Documentation:

• Provide detailed documentation of your database design process, including schema diagrams and data flow.
• Include examples of SQL queries, functions, and stored procedures you have developed.
• Demonstrate your understanding of CI/CD practices by showing how you have integrated database changes into the development pipeline.
• Showcase your problem-solving skills by including case studies of database-related issues you have resolved.

📝 Enhancement Note: This role requires a strong portfolio that demonstrates the candidate's technical skills and experience in PostgreSQL database engineering. The portfolio should include examples of schema design, performance tuning, and data migration, as well as documentation that showcases the candidate's problem-solving skills and understanding of CI/CD practices.

💵 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be between ARS 100,000 and ARS 150,000 per year, based on market research and regional adjustments for database administrators in Argentina.

Benefits:

• Professional Growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive Compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A Selection of Exciting Projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Working Hours: The standard workweek is 40 hours, with flexible scheduling options available.

📝 Enhancement Note: The salary range for this role is based on market research and regional adjustments for database administrators in Argentina. The benefits package is designed to support professional growth, work-life balance, and competitive compensation.

🎯 Team & Company Context

🏢 Company Culture

Industry: AgileEngine is a software development company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. They rank among the leaders in areas like application development and AI/ML, and their people-first culture has earned them multiple Best Place to Work awards.

Company Size: AgileEngine has a team of over 1,000 professionals, providing a large and diverse pool of expertise and opportunities for collaboration and growth.

Founded: AgileEngine was founded in 2002 and has since grown to become a leading software development company with a strong focus on innovation and customer success.

Team Structure:

• AgileEngine's database engineering team consists of experienced professionals with a strong focus on PostgreSQL database systems.
• The team works collaboratively with engineers, QA, and DevOps to ensure high data flow and reliability.
• The team structure is designed to support professional growth and mentorship opportunities.

Development Methodology:

• AgileEngine follows Agile methodologies, with a focus on iterative development and continuous improvement.
• The team uses Scrum for project management and Git for version control.
• AgileEngine emphasizes code reviews, testing, and quality assurance practices to ensure high-quality software development.

Company Website: AgileEngine

📝 Enhancement Note: AgileEngine's company culture is characterized by a strong focus on innovation, collaboration, and customer success. The company's large team provides ample opportunities for professional growth and mentorship, and its Agile methodologies ensure high-quality software development.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a Junior/Middle PostgreSQL Database Engineer position, focusing on database design, performance tuning, and data integrity. The role requires a solid understanding of PostgreSQL database systems and experience in designing, maintaining, and optimizing complex relational database systems.

Reporting Structure: The Junior/Middle PostgreSQL Database Engineer reports directly to the Database Engineering Manager and works collaboratively with engineers, QA, and DevOps to ensure high data flow and reliability.

Technical Impact: The Junior/Middle PostgreSQL Database Engineer has a significant impact on the performance, scalability, and reliability of AgileEngine's web applications. They are responsible for designing and implementing efficient PostgreSQL schemas, maintaining and tuning database performance, and supporting data integration and migration efforts across environments.

Growth Opportunities:

• Technical Growth: As a Junior/Middle PostgreSQL Database Engineer, there are ample opportunities for technical growth and specialization. Candidates can expect to gain experience in cloud services, data migration techniques, and other relevant technologies.
• Leadership Growth: With experience and proven performance, candidates may have the opportunity to take on leadership roles within the database engineering team, mentoring junior team members and driving technical decisions.
• Career Progression: AgileEngine offers clear career progression paths, with opportunities to advance to Senior Database Engineer, Database Engineering Manager, or other relevant roles within the organization.

📝 Enhancement Note: This role offers significant opportunities for technical and leadership growth within the database engineering team. Candidates can expect to gain experience in a wide range of technologies and have the opportunity to take on leadership roles as they progress in their careers.

🌐 Work Environment

Office Type: AgileEngine's office is a modern, collaborative workspace designed to support innovation and creativity. The office features open-plan workspaces, meeting rooms, and breakout areas.

Office Location(s): AgileEngine's office is located in Rosario, Santa Fe Province, Argentina.

Workspace Context:

• Collaborative Environment: AgileEngine's office is designed to facilitate collaboration and communication between team members, with open-plan workspaces and breakout areas for informal discussions.
• Development Tools: The office is equipped with modern development tools, including high-performance workstations, multiple monitors, and testing devices.
• Cross-Functional Collaboration: AgileEngine's office is home to a diverse range of teams, including software developers, QA engineers, and DevOps professionals. This encourages cross-functional collaboration and knowledge sharing.

Work Schedule: AgileEngine offers flexible scheduling options, with the opportunity to work from home and go to the office as needed. The standard workweek is 40 hours, with core hours from 9:00 AM to 6:00 PM.

📝 Enhancement Note: AgileEngine's office is designed to support collaboration, innovation, and creativity, with modern development tools and a diverse range of teams. The flexible work schedule offers the opportunity to work from home and go to the office as needed.

📄 Application & Technical Interview Process

Interview Process:

• Technical Assessment (1 hour): A hands-on technical assessment to evaluate the candidate's PostgreSQL database engineering skills, including data modeling, query optimization, and performance tuning.
• Cultural Fit Interview (30 minutes): A conversation with a member of the database engineering team to assess the candidate's cultural fit and communication skills.
• Final Interview (30 minutes): A conversation with the Database Engineering Manager to discuss the candidate's career goals, technical expertise, and fit for the role.

Portfolio Review Tips:

• Demonstrate Technical Expertise: Showcase your experience in designing, implementing, and optimizing PostgreSQL schemas, with a focus on performance tuning, indexing strategies, and query optimization.
• Include Relevant Projects: Include projects that demonstrate your understanding of data modeling, ETL processes, and data migration techniques.
• Highlight Problem-Solving Skills: Include case studies of database-related issues you have resolved, demonstrating your ability to troubleshoot and resolve complex problems.

Technical Challenge Preparation:

• Brush Up on PostgreSQL: Review your knowledge of PostgreSQL database systems, with a focus on performance tuning, indexing strategies, and query optimization.
• Practice Data Modeling: Familiarize yourself with data modeling techniques and practice designing and implementing complex relational database systems.
• Prepare for Troubleshooting Scenarios: Practice troubleshooting database-related issues and be prepared to discuss your approach to problem-solving and resolution.

ATS Keywords:

• Programming Languages: PostgreSQL, SQL
• Web Frameworks: N/A
• Server Technologies: N/A
• Databases: PostgreSQL, MySQL, MongoDB
• Tools: sqitch, pgtaps, dbt, metaplane, AWS glue
• Methodologies: Agile, Scrum, Git
• Soft Skills: Communication, Collaboration, Problem-Solving, Attention to Detail
• Industry Terms: Database Engineering, Data Modeling, Query Optimization, Performance Tuning, Data Integrity

📝 Enhancement Note: The interview process for this role is designed to evaluate the candidate's technical expertise in PostgreSQL database engineering, as well as their cultural fit and communication skills. The technical assessment focuses on data modeling, query optimization, and performance tuning, while the cultural fit interview assesses the candidate's ability to work collaboratively with team members.

🛠 Technology Stack & Web Infrastructure

Database Technologies:

• PostgreSQL: The primary database management system used by AgileEngine, with a focus on performance tuning, indexing strategies, and query optimization.
• MySQL: Experience with MySQL is preferred but not required.
• MongoDB: Experience with MongoDB is preferred but not required.

Development & DevOps Tools:

• sqitch: A change management tool for database schemas, used to manage and deploy database changes in a controlled and automated manner.
• pgtaps: A tool for creating and managing database test data, used to ensure data consistency and reliability across environments.
• dbt: A command-line tool that enables data analysts and engineers to transform data in their warehouses by simply writing select statements.
• metaplane: An open-source tool for monitoring and analyzing database performance, used to identify and resolve performance bottlenecks.
• AWS glue: A fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics.

📝 Enhancement Note: AgileEngine's technology stack is focused on PostgreSQL database engineering, with a strong emphasis on performance tuning, indexing strategies, and query optimization. The use of tools like sqitch, pgtaps, dbt, metaplane, and AWS glue ensures high data quality, reliability, and performance.

👥 Team Culture & Values

Web Development Values:

• Innovation: AgileEngine values innovation and encourages team members to explore new technologies and approaches to problem-solving.
• Collaboration: AgileEngine emphasizes collaboration and encourages team members to work together to achieve common goals.
• Quality: AgileEngine is committed to delivering high-quality software and ensuring customer satisfaction.
• Continuous Learning: AgileEngine encourages team members to continuously learn and improve their skills and knowledge.

Collaboration Style:

• Cross-Functional Integration: AgileEngine's teams work collaboratively with engineers, QA, and DevOps to ensure high data flow and reliability.
• Code Review Culture: AgileEngine emphasizes code reviews and peer programming practices to ensure high-quality software development.
• Knowledge Sharing: AgileEngine encourages team members to share their knowledge and expertise with one another, fostering a culture of continuous learning and improvement.

📝 Enhancement Note: AgileEngine's team culture is characterized by a strong focus on innovation, collaboration, and continuous learning. The team works collaboratively with engineers, QA, and DevOps to ensure high data flow and reliability, and encourages knowledge sharing and peer programming practices.

⚡ Challenges & Growth Opportunities

Technical Challenges:

• Performance Tuning: AgileEngine's database engineering team faces significant challenges in maintaining and tuning database performance, ensuring high availability and responsiveness.
• Scalability: As AgileEngine's client base grows, the team must design and implement scalable PostgreSQL schemas that can support increased data volume and user load.
• Data Migration: The team must support data integration and migration efforts across environments, ensuring data consistency and reliability.
• Emerging Technologies: The team must stay up-to-date with emerging technologies and trends in database engineering, and be prepared to adapt to new tools and approaches as needed.

Learning & Development Opportunities:

• Technical Skill Development: AgileEngine offers opportunities for technical skill development, with a focus on PostgreSQL database engineering, cloud services, and data migration techniques.
• Conference Attendance: AgileEngine encourages team members to attend industry conferences and events, providing opportunities for learning and networking.
• Technical Mentorship: AgileEngine offers mentorship opportunities, with experienced team members providing guidance and support to junior team members.

📝 Enhancement Note: AgileEngine's technical challenges are focused on performance tuning, scalability, data migration, and emerging technologies. The team offers significant opportunities for technical skill development, conference attendance, and technical mentorship.

💡 Interview Preparation

Technical Questions:

• PostgreSQL Fundamentals: Be prepared to discuss your understanding of PostgreSQL database systems, with a focus on performance tuning, indexing strategies, and query optimization.
• Data Modeling: Be prepared to discuss your experience in designing and implementing complex relational database systems, with a focus on data modeling techniques.
• Troubleshooting: Be prepared to discuss your approach to troubleshooting database-related issues, with a focus on problem-solving and resolution.

Company & Culture Questions:

• AgileEngine Culture: Be prepared to discuss your understanding of AgileEngine's company culture, with a focus on innovation, collaboration, and continuous learning.
• Agile Methodologies: Be prepared to discuss your experience with Agile methodologies, with a focus on iterative development and continuous improvement.
• Cross-Functional Collaboration: Be prepared to discuss your experience working collaboratively with engineers, QA, and DevOps, with a focus on data flow and reliability.

Portfolio Presentation Strategy:

• Live Demonstration: Prepare a live demonstration of your portfolio, showcasing your experience in designing, implementing, and optimizing PostgreSQL schemas.
• Code Walkthrough: Prepare a code walkthrough of your portfolio, highlighting your approach to data modeling, query optimization, and performance tuning.
• Problem-Solving: Prepare examples of database-related issues you have resolved, demonstrating your ability to troubleshoot and resolve complex problems.

📝 Enhancement Note: The interview process for this role is designed to evaluate the candidate's technical expertise in PostgreSQL database engineering, as well as their cultural fit and communication skills. The technical assessment focuses on data modeling, query optimization, and performance tuning, while the cultural fit interview assesses the candidate's ability to work collaboratively with team members.

📌 Application Steps

To apply for this PostgreSQL Database Engineer (Junior/Middle) position at AgileEngine:

• Submit your application through the application link provided in the job listing.
• Customize Your Portfolio: Tailor your portfolio to highlight your experience in designing, implementing, and optimizing PostgreSQL schemas, with a focus on performance tuning, indexing strategies, and query optimization.
• Optimize Your Resume: Highlight your relevant technical skills and experience in database engineering, with a focus on PostgreSQL, SQL performance tuning, and data integrity.
• Prepare for Technical Interview: Brush up on your PostgreSQL database engineering skills, with a focus on data modeling, query optimization, and performance tuning. Practice troubleshooting database-related issues and be prepared to discuss your approach to problem-solving and resolution.
• Research AgileEngine: Familiarize yourself with AgileEngine's company culture, with a focus on innovation, collaboration, and continuous learning. Be prepared to discuss your understanding of Agile methodologies and cross-functional collaboration.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.