📍 Job Overview

Job Title: PostgreSQL Database Engineer (Junior/Middle) ID38796
Company: AgileEngine
Location: Mendoza, Mendoza, Argentina
Job Type: Hybrid
Category: Database Administrator
Date Posted: 2025-07-24
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 schema design, performance tuning, and data integrity. Candidates should have a solid understanding of SQL performance tuning, indexing strategies, and query optimization to excel in this position.

💻 Primary Responsibilities

Database Design & Implementation: Design and implement efficient PostgreSQL schemas that support product features and scalability.
Performance Tuning: Maintain and tune database performance to ensure high availability and responsiveness.
Collaboration: Work with engineers, QA, and DevOps to streamline data flow and reliability, 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 proactive approach to database management, with a focus on preventing issues before they occur. Candidates should be comfortable working independently and taking ownership of tasks to deliver high-quality results with minimal supervision.

🎓 Skills & Qualifications

Education: A bachelor's degree in Computer Science, Information Technology, or a related field is preferred. Relevant 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 data modeling, creating queries, functions, and ETL code.
Strong knowledge of SQL performance tuning, indexing strategies, and query optimization.
Experience in designing, maintaining, and optimizing complex relational database systems.
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: Candidates with experience in cloud-based database management and familiarity with modern data integration tools will have a significant advantage in this role. Additionally, experience with Java or other modern backend stacks can be beneficial for collaborating with the development team.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A portfolio showcasing your experience in PostgreSQL database engineering, with a focus on schema design, performance tuning, and data integrity.
Case studies demonstrating your ability to design, maintain, and optimize complex relational database systems.
Examples of your SQL performance tuning, indexing strategies, and query optimization skills.
Documentation of your experience with data integration, migration, and replication strategies.

Technical Documentation:

Code samples and documentation demonstrating your proficiency in data modeling, creating queries, functions, and ETL code.
Examples of your ability to work with CI/CD practices in relation to database change management.
Documentation of your experience with cloud-based database management and modern data integration tools.

📝 Enhancement Note: A well-structured portfolio that demonstrates your technical skills and problem-solving abilities will be crucial for success in this role. Include case studies that highlight your ability to design efficient PostgreSQL schemas, maintain database performance, and resolve database-related issues.

💵 Compensation & Benefits

Salary Range: The salary range for this position is estimated to be between USD 40,000 and USD 60,000 per year, based on the average salary for a PostgreSQL Database Engineer in Mendoza, Argentina, and the candidate's experience level. This estimate is subject to change based on the company's final assessment of the candidate's qualifications.

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.
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 working hours for this position are 40 hours per week, with flexible scheduling options available.

📝 Enhancement Note: The salary range provided is an estimate based on regional market data and the candidate's experience level. The final salary offer will be determined by the company based on the candidate's qualifications and the final assessment of their skills.

🎯 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 250 professionals, providing a collaborative and dynamic work environment for employees.

Founded: AgileEngine was founded in 2009 and has since grown to become a leading software development company with a strong focus on innovation and quality.

Team Structure:

The database engineering team at AgileEngine consists of experienced professionals who work collaboratively to ensure high-quality database solutions.
The team follows an Agile/Scrum methodology, with regular sprint planning and code reviews to maintain high coding standards.
The database engineering team works closely with the development, QA, and DevOps teams to streamline data flow and reliability.

Development Methodology:

AgileEngine follows an Agile/Scrum methodology, with regular sprint planning and code reviews to ensure high-quality software development.
The company emphasizes collaboration, continuous learning, and innovation to drive success in its projects.
AgileEngine's database engineering team works closely with the development, QA, and DevOps teams to ensure efficient data flow and reliable database solutions.

Company Website: AgileEngine

📝 Enhancement Note: AgileEngine's focus on innovation, quality, and collaboration makes it an attractive employer for database engineers looking to grow their careers in a dynamic and supportive environment.

📈 Career & Growth Analysis

Web Technology Career Level: This PostgreSQL Database Engineer role is a junior/middle-level position, requiring 2+ years of experience in database engineering with a focus on PostgreSQL. The role offers opportunities for professional growth and career advancement within the database engineering team.

Reporting Structure: The PostgreSQL Database Engineer will report directly to the Database Engineering Manager and work closely with the development, QA, and DevOps teams to ensure efficient data flow and reliable database solutions.

Technical Impact: The PostgreSQL Database Engineer will play a crucial role in designing and implementing efficient PostgreSQL schemas, maintaining database performance, and resolving database-related issues. Their work will directly impact the quality, scalability, and reliability of AgileEngine's software solutions.

Growth Opportunities:

Technical Growth: As a junior/middle-level database engineer, there are ample opportunities for professional growth and development within the database engineering team. Candidates can expect to gain experience in designing, maintaining, and optimizing complex relational database systems, as well as working with modern data integration tools and cloud-based database management.
Leadership Potential: With experience and proven performance, database engineers at AgileEngine have the opportunity to take on leadership roles within the team, mentoring junior team members and contributing to the development of best practices and high coding standards.
Architecture Decisions: As their experience and expertise grow, database engineers at AgileEngine may have the opportunity to influence architecture decisions, ensuring that the company's database solutions are scalable, maintainable, and efficient.

📝 Enhancement Note: AgileEngine's focus on professional growth and development makes it an attractive employer for database engineers looking to advance their careers in a supportive and collaborative environment. The company offers opportunities for technical growth, leadership development, and architecture decision-making, allowing database engineers to make a significant impact on the quality and success of its software solutions.

🌐 Work Environment

Office Type: AgileEngine's office is a collaborative and dynamic workspace, designed to foster innovation, creativity, and teamwork. The office features modern amenities, comfortable workspaces, and ample opportunities for social interaction and team-building activities.

Office Location(s): AgileEngine's office is located in Mendoza, Argentina, with additional offices in other locations. The company offers flexible scheduling options, allowing employees to work from home or in the office, depending on their preferences and the needs of the project.

Workspace Context:

Collaborative Workspace: AgileEngine's office features open-plan workspaces, encouraging collaboration and communication among team members.
Development Tools: The office is equipped with modern development tools, including multiple monitors and testing devices, to support efficient and high-quality software development.
Cross-Functional Collaboration: AgileEngine's database engineering team works closely with the development, QA, and DevOps teams, fostering a collaborative and cross-functional work environment.

Work Schedule: The standard working hours for this position are 40 hours per week, with flexible scheduling options available. Employees are expected to work during core business hours and be available for meetings and collaboration with team members in different time zones.

📝 Enhancement Note: AgileEngine's collaborative and dynamic work environment is designed to support the success of its employees and the quality of its software solutions. The company's focus on collaboration, innovation, and professional growth makes it an attractive employer for database engineers looking to advance their careers in a supportive and engaging work environment.

📄 Application & Technical Interview Process

Interview Process:

Resume Screening: The hiring team will review your resume and portfolio to assess your qualifications and experience in PostgreSQL database engineering.
Phone/Skype Screen: If your application is successful, you will be invited to a phone or Skype screen to discuss your technical skills, experience, and cultural fit with the team.
Technical Challenge: You will be asked to complete a technical challenge, demonstrating your ability to design, implement, and optimize PostgreSQL schemas, as well as your proficiency in SQL performance tuning, indexing strategies, and query optimization.
Final Interview: If your technical challenge is successful, you will be invited to a final interview with the hiring manager and other team members to discuss your career goals, expectations, and fit with the company's culture and values.

Portfolio Review Tips:

Case Studies: Include case studies that demonstrate your experience in designing, maintaining, and optimizing complex relational database systems. Highlight your ability to work with modern data integration tools and cloud-based database management.
Code Samples: Include code samples that demonstrate your proficiency in data modeling, creating queries, functions, and ETL code. Showcase your ability to work with CI/CD practices in relation to database change management.
Documentation: Include documentation that demonstrates your understanding of data integrity, backups, and replication strategies. Highlight your experience with cloud-based database management and modern data integration tools.

Technical Challenge Preparation:

Database Design: Familiarize yourself with PostgreSQL database design principles, including normalization, indexing, and performance optimization.
SQL Performance Tuning: Brush up on your SQL performance tuning skills, including query optimization, indexing strategies, and data modeling techniques.
Problem-Solving: Prepare for problem-solving scenarios that may involve designing, implementing, and optimizing PostgreSQL schemas, as well as resolving database-related issues.

ATS Keywords: PostgreSQL, Database Engineering, Data Modeling, SQL Performance Tuning, Indexing Strategies, Query Optimization, Data Integrity, Backups, Replication, CI/CD Practices, Cloud-Based Database Management, Modern Data Integration Tools, Java, Backend Development, Agile Methodology, Scrum, Code Review, Team Collaboration, Professional Growth, Mentorship, Technical Leadership, Architecture Decisions.

📝 Enhancement Note: AgileEngine's interview process is designed to assess the technical skills, experience, and cultural fit of candidates for the PostgreSQL Database Engineer role. By preparing for the interview process and showcasing your technical skills and problem-solving abilities, you can increase your chances of success in this competitive role.

🛠 Technology Stack & Web Infrastructure

Database Technologies:

PostgreSQL: Candidates must have 2+ years of experience in database engineering with a focus on PostgreSQL. They should have strong knowledge of SQL performance tuning, indexing strategies, and query optimization.
Other Database Systems: Experience with other database systems (e.g., MySQL, MongoDB) can be beneficial, as it demonstrates the candidate's ability to work with a variety of database technologies.

Cloud Services:

AWS RDS or GCP Cloud SQL: Familiarity with cloud services like AWS RDS or GCP Cloud SQL can be beneficial, as it demonstrates the candidate's ability to work with modern database management tools and cloud-based infrastructure.

Data Integration & Migration Tools:

sqitch, pgtaps, dbt, metaplane, AWS glue: Experience with these data integration and migration tools can be beneficial, as it demonstrates the candidate's ability to work with modern data integration techniques and cloud-based infrastructure.

Development & DevOps Tools:

Docker, Kubernetes: Experience with these development and DevOps tools can be beneficial, as it demonstrates the candidate's ability to work with modern software development and infrastructure management practices.

📝 Enhancement Note: AgileEngine's technology stack includes a range of modern database technologies, cloud services, and data integration tools. Candidates with experience in these technologies will have a significant advantage in the PostgreSQL Database Engineer role, as they will be better equipped to work with the company's existing infrastructure and contribute to its success.

👥 Team Culture & Values

Web Development Values:

Innovation: AgileEngine values innovation and encourages its employees to think creatively and push the boundaries of what's possible in software development.
Quality: The company is committed to delivering high-quality software solutions that meet the needs of its clients and exceed their expectations.
Collaboration: AgileEngine fosters a collaborative work environment, encouraging team members to work together to achieve common goals and drive success.
Continuous Learning: The company encourages its employees to continuously learn and develop their skills, staying up-to-date with the latest trends and best practices in software development.

Collaboration Style:

Cross-Functional Integration: AgileEngine's database engineering team works closely with the development, QA, and DevOps teams to ensure efficient data flow and reliable database solutions.
Code Review Culture: The company follows an Agile/Scrum methodology, with regular sprint planning and code reviews to maintain high coding standards and ensure the quality of its software solutions.
Peer Programming: AgileEngine encourages peer programming and knowledge sharing, fostering a collaborative and supportive work environment.

📝 Enhancement Note: AgileEngine's focus on innovation, quality, collaboration, and continuous learning makes it an attractive employer for database engineers looking to grow their careers in a dynamic and supportive environment. The company's collaborative work culture and emphasis on high coding standards ensure that its software solutions are of the highest quality and meet the needs of its clients.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Schema Design: Designing and implementing efficient PostgreSQL schemas that support product features and scalability can be a challenging task, requiring a deep understanding of database design principles, indexing strategies, and performance optimization.
Performance Tuning: Maintaining and tuning database performance to ensure high availability and responsiveness can be a complex and ongoing process, requiring a proactive approach to database management and a solid understanding of SQL performance tuning, indexing strategies, and query optimization.
Data Integration & Migration: Supporting data integration and migration efforts across environments can be a challenging task, requiring a strong understanding of data modeling, ETL processes, and cloud-based database management.
Emerging Technologies: Keeping up-to-date with the latest trends and best practices in database engineering, data integration, and cloud-based infrastructure can be a challenging task, requiring continuous learning and professional development.

Learning & Development Opportunities:

Technical Skill Development: As a junior/middle-level database engineer, there are ample opportunities for professional growth and development within the database engineering team. Candidates can expect to gain experience in designing, maintaining, and optimizing complex relational database systems, as well as working with modern data integration tools and cloud-based database management.
Conference Attendance: AgileEngine encourages its employees to attend industry conferences and events, providing opportunities for professional development and networking.
Certification & Community Involvement: The company supports its employees in obtaining relevant certifications and encourages involvement in the database engineering community, fostering a culture of continuous learning and professional development.
Technical Mentorship: AgileEngine offers mentorship opportunities for junior database engineers, providing guidance and support as they develop their skills and advance their careers.

📝 Enhancement Note: AgileEngine's focus on professional growth and development makes it an attractive employer for database engineers looking to advance their careers in a supportive and collaborative environment. The company offers opportunities for technical skill development, conference attendance, certification, and community involvement, as well as technical mentorship and leadership development.

💡 Interview Preparation

Technical Questions:

Database Design: Be prepared to discuss your experience in designing and implementing efficient PostgreSQL schemas, as well as your understanding of database design principles, indexing strategies, and performance optimization.
SQL Performance Tuning: Brush up on your SQL performance tuning skills, including query optimization, indexing strategies, and data modeling techniques. Be prepared to discuss your experience in maintaining and tuning database performance to ensure high availability and responsiveness.
Problem-Solving: Prepare for problem-solving scenarios that may involve designing, implementing, and optimizing PostgreSQL schemas, as well as resolving database-related issues. Demonstrate your ability to think critically and creatively to solve complex technical challenges.

Company & Culture Questions:

Company Culture: Research AgileEngine's company culture, values, and mission. Be prepared to discuss how your personal values and career goals align with the company's culture and vision for the future.
Team Dynamics: Familiarize yourself with AgileEngine's team structure and dynamics. Be prepared to discuss how you would collaborate with the development, QA, and DevOps teams to ensure efficient data flow and reliable database solutions.
Professional Growth: Prepare to discuss your career goals, expectations, and plans for professional development within the database engineering team. Highlight your commitment to continuous learning and growth.

Portfolio Presentation Strategy:

Case Studies: Prepare case studies that demonstrate your experience in designing, maintaining, and optimizing complex relational database systems. Highlight your ability to work with modern data integration tools and cloud-based database management.
Code Samples: Include code samples that demonstrate your proficiency in data modeling, creating queries, functions, and ETL code. Showcase your ability to work with CI/CD practices in relation to database change management.
Documentation: Prepare documentation that demonstrates your understanding of data integrity, backups, and replication strategies. Highlight your experience with cloud-based database management and modern data integration tools.

📝 Enhancement Note: AgileEngine's interview process is designed to assess the technical skills, experience, and cultural fit of candidates for the PostgreSQL Database Engineer role. By preparing for the interview process and showcasing your technical skills, problem-solving abilities, and alignment with the company's culture and values, you can increase your chances of success in this competitive role.

📌 Application Steps

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

Submit Your Application: Click on the application link provided in the job listing and follow the instructions to submit your resume and portfolio.
Customize Your Portfolio: Tailor your portfolio to highlight your experience in PostgreSQL database engineering, with a focus on schema design, performance tuning, and data integrity. Include case studies, code samples, and documentation that demonstrate your technical skills and problem-solving abilities.
Optimize Your Resume: Optimize your resume for web technology roles, highlighting your project experience, technical skills, and accomplishments in database engineering. Include relevant keywords and phrases to improve your visibility in applicant tracking systems.
Prepare for Technical Challenges: Brush up on your SQL performance tuning skills, indexing strategies, and query optimization. Familiarize yourself with PostgreSQL database design principles, indexing strategies, and performance optimization. Prepare for problem-solving scenarios that may involve designing, implementing, and optimizing PostgreSQL schemas, as well as resolving database-related issues.
Research the Company: Familiarize yourself with AgileEngine's company culture, values, and mission. Prepare to discuss how your personal values and career goals align with the company's culture and vision for the future.

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

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to database engineering roles, with a focus on PostgreSQL, SQL performance tuning, indexing strategies, and query optimization.
Include web technology industry-relevant keywords, such as database engineering, data modeling, ETL processes, cloud-based database management, and modern data integration tools.
Emphasize the candidate's experience with PostgreSQL, SQL performance tuning, indexing strategies, and query optimization, as well as their ability to work with modern data integration tools and cloud-based infrastructure.

Quality Standards:

Ensure no content overlap between sections, with each section containing unique and informative details.
Include Enhancement Notes only when making significant inferences about the role, company culture, or web technology industry standards.
Be comprehensive yet concise, prioritizing actionable information over descriptive text.
Strategically distribute web technology-related keywords throughout all sections naturally, with a focus on PostgreSQL, SQL performance tuning, indexing strategies, and query optimization.
Provide realistic salary ranges based on regional market data and the candidate's experience level, with a focus on competitive USD-based compensation and budgets for education, fitness, and team activities.

Industry Expertise:

Include specific PostgreSQL database engineering skills, such as data modeling, creating queries, functions, and ETL code, as well as proficiency in SQL performance tuning, indexing strategies, and query optimization.
Address the candidate's experience with other database systems (e.g., MySQL, MongoDB), cloud services (e.g., AWS RDS, GCP Cloud SQL), and modern data integration tools (e.g., sqitch, pgtaps, dbt, metaplane, AWS glue).
Provide tactical advice for portfolio development, live demonstrations, and project case studies, with a focus on PostgreSQL database engineering, SQL performance tuning, indexing strategies, and query optimization.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout the enhanced job description.
Use web technology industry terminology appropriately and accurately, with a focus on PostgreSQL, SQL performance tuning, indexing strategies, and query optimization.
Include comprehensive benefits and growth opportunities relevant to database engineering roles, with a focus on professional growth, competitive compensation, exciting projects, and flextime.
Provide actionable insights that give database engineering candidates a competitive advantage, with a focus on technical skills, problem-solving abilities, and alignment with the company's culture and values.

Technical Focus & Portfolio Emphasis:

Emphasize the candidate's experience in PostgreSQL database engineering, with a focus on schema design, performance tuning, and data integrity.
Include specific portfolio requirements tailored to the database engineering role, with a focus on case studies, code samples, and documentation that demonstrate the candidate's technical skills and problem-solving abilities.
Address the candidate's experience with cloud-based database management and modern data integration tools, as well as their ability to work with CI/CD practices in relation to database change management.

Avoid:

Generic business jargon not relevant to database engineering roles, with a focus on PostgreSQL, SQL performance tuning, indexing strategies, and query optimization.
Placeholder text or incomplete sections, with a focus on comprehensive and informative content for each section.
Repetitive content across different sections, with a focus on unique and actionable information for each section.
Non-technical terminology unrelated to database engineering, with a focus on PostgreSQL, SQL performance tuning, indexing strategies, and query optimization.

By following these content guidelines, the enhanced job description will provide comprehensive, well-organized, and valuable information for web development and server administration professionals seeking their next opportunity in database engineering roles.

PostgreSQL Database Engineer (Junior/Middle) ID38796