📍 Job Overview

Job Title: PostgreSQL Database Engineer (Junior/Middle)
Company: AgileEngine
Location: Mar del Plata, Buenos Aires, Argentina
Job Type: On-site/Hybrid
Category: Database Administrator
Date Posted: July 24, 2025
Experience Level: Mid-level (2-5 years)

🚀 Role Summary

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

📝 Enhancement Note: This role requires a strong focus on PostgreSQL and SQL performance tuning, with a significant emphasis on data modeling, schema design, and query optimization. Candidates should be comfortable working independently and collaborating with cross-functional teams to ensure data reliability and responsiveness.

💻 Primary Responsibilities

Database Design & Implementation: Design and implement efficient PostgreSQL schemas to support product features and scalability. Collaborate with engineers, QA, and DevOps to streamline data flow and reliability.
Performance Tuning & Optimization: Maintain and tune database performance, ensuring high availability and responsiveness. Troubleshoot and resolve database-related issues.
Data Integration & Migration: Support data integration and migration efforts across environments. Establish best practices and maintain high coding standards for data integrity and reliability.
Cross-Functional Collaboration: Work closely with engineers, QA, and DevOps teams to ensure data reliability, responsiveness, and efficient data flow.

📝 Enhancement Note: This role requires a deep understanding of PostgreSQL and SQL performance tuning, with a strong emphasis on data modeling, schema design, and query optimization. Candidates should be comfortable working independently and collaborating with cross-functional teams to ensure data reliability and responsiveness.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant coursework in databases, data modeling, and SQL is a plus.

Experience: 2+ years of experience in database engineering with a focus on PostgreSQL. Proven experience in designing, maintaining, and optimizing complex relational database systems.

Required Skills:

Strong knowledge of PostgreSQL and SQL performance tuning.
Experience in data modeling, creating queries, functions, and ETL code.
Proven 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: This role requires a strong foundation in PostgreSQL and SQL performance tuning, with a significant emphasis on data modeling, schema design, and query optimization. Candidates should have experience working with complex relational database systems and be comfortable collaborating with cross-functional teams to ensure data reliability and responsiveness.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A portfolio showcasing your experience with PostgreSQL, including schema designs, query examples, and performance optimization case studies.
Live demos of your projects, highlighting your ability to design, implement, and maintain efficient PostgreSQL schemas.
Examples of your collaboration with cross-functional teams, demonstrating your ability to streamline data flow and reliability.

Technical Documentation:

Documentation of your database design process, including data modeling, schema design, and query optimization techniques.
Examples of your performance tuning and optimization strategies, with before-and-after metrics.
Case studies of your data integration and migration efforts, highlighting your ability to support data flow across environments.

📝 Enhancement Note: This role requires a strong focus on PostgreSQL and SQL performance tuning, with a significant emphasis on data modeling, schema design, and query optimization. Candidates should be prepared to showcase their ability to design, implement, and maintain efficient PostgreSQL schemas, as well as their experience working with cross-functional teams to ensure data reliability and responsiveness.

💵 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be between $35,000 and $55,000 USD per year, based on regional standards and industry benchmarks for mid-level 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.

📝 Enhancement Note: The salary range for this role is estimated based on regional standards and industry benchmarks for mid-level database administrators in Argentina. The benefits listed are specific to AgileEngine and may vary depending on the candidate's location and experience level.

🎯 Team & Company Context

🏢 Company Culture

Industry: AgileEngine is an Inc. 5000 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 employees, providing a medium-sized company environment with ample opportunities for growth and collaboration.

Founded: AgileEngine was founded in 2009, with a mission to create high-quality software solutions for clients across various industries.

Team Structure:

The database engineering team at AgileEngine consists of experienced professionals with a strong focus on PostgreSQL and SQL performance tuning.
The team works closely with engineers, QA, and DevOps to ensure data reliability, responsiveness, and efficient data flow.
The team structure is designed to facilitate collaboration and knowledge sharing, with a focus on mentorship and professional growth.

Development Methodology:

AgileEngine follows Agile development methodologies, with a focus on iterative development, continuous improvement, and customer satisfaction.
The team uses Scrum for project management, with sprint planning, daily stand-ups, and regular retrospectives.
AgileEngine emphasizes code reviews, testing, and quality assurance practices to ensure high-quality software solutions.

Company Website: AgileEngine

📝 Enhancement Note: AgileEngine is an established company with a strong focus on application development and AI/ML. Their people-first culture and commitment to professional growth make them an attractive employer for database administrators looking to advance their careers in a collaborative environment.

📈 Career & Growth Analysis

Database Administrator Career Level: This role is suitable for mid-level database administrators with 2-5 years of experience in PostgreSQL and SQL performance tuning. The role requires a strong foundation in data modeling, schema design, and query optimization, as well as experience working with complex relational database systems.

Reporting Structure: The database engineering team at AgileEngine reports directly to the CTO, with a flat organizational structure that encourages collaboration and knowledge sharing.

Technical Impact: In this role, you will have a significant impact on the performance, reliability, and responsiveness of AgileEngine's databases. Your work will directly influence the quality of their software solutions and the user experience of their clients.

Growth Opportunities:

Technical Growth: As a mid-level database administrator, you will have the opportunity to advance your skills in PostgreSQL and SQL performance tuning, as well as expand your knowledge of other database systems and cloud services.
Leadership Growth: With experience and proven performance, you may have the opportunity to take on leadership roles within the database engineering team, mentoring junior team members and driving technical decisions.
Career Transition: As your skills and experience grow, you may have the opportunity to transition into other roles within AgileEngine, such as data engineer or data architect, depending on your interests and the organization's needs.

📝 Enhancement Note: This role offers significant opportunities for technical and career growth, with a focus on PostgreSQL and SQL performance tuning. Candidates should be prepared to take on challenging projects and collaborate with cross-functional teams to ensure data reliability and responsiveness.

🌐 Work Environment

Office Type: AgileEngine's office in Mar del Plata, Buenos Aires, Argentina, provides a modern and collaborative work environment designed to facilitate teamwork and innovation.

Office Location(s): The office is located in the heart of Mar del Plata, with easy access to public transportation and nearby amenities.

Workspace Context:

The office features open-plan workspaces, with ample room for collaboration and knowledge sharing.
AgileEngine provides modern development tools, multiple monitors, and testing devices to ensure high productivity and efficiency.
The work environment encourages cross-functional collaboration between developers, designers, and stakeholders, with a focus on user experience and customer satisfaction.

Work Schedule: AgileEngine offers flexible work arrangements, with the option to work from home or in the office, depending on the candidate's preferences and the project's requirements. The standard workweek is 40 hours, with core hours from 9:00 AM to 6:00 PM local time.

📝 Enhancement Note: AgileEngine's work environment is designed to facilitate collaboration and innovation, with a focus on user experience and customer satisfaction. Candidates should be prepared to work in a dynamic and collaborative environment, with opportunities for professional growth and development.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: Complete an online assessment to evaluate your technical skills in PostgreSQL and SQL performance tuning.
Technical Phone Screen: Participate in a technical phone screen to discuss your experience with data modeling, schema design, and query optimization.
On-site Interview: Visit AgileEngine's office in Mar del Plata for an on-site interview, where you will meet the team, discuss your portfolio, and participate in a technical deep dive.
Final Decision: AgileEngine will make a final decision based on your technical skills, cultural fit, and alignment with the company's values.

Portfolio Review Tips:

Highlight your experience with PostgreSQL and SQL performance tuning, with a focus on data modeling, schema design, and query optimization.
Include case studies of your work, demonstrating your ability to design, implement, and maintain efficient PostgreSQL schemas.
Showcase your collaboration skills, with examples of your work with cross-functional teams to ensure data reliability and responsiveness.

Technical Challenge Preparation:

Brush up on your PostgreSQL and SQL performance tuning skills, with a focus on data modeling, schema design, and query optimization.
Practice your problem-solving skills, with a focus on performance optimization and scalable architecture.
Prepare for technical questions related to database design, performance tuning, and query optimization.

ATS Keywords: PostgreSQL, Database Administration, SQL Performance Tuning, Data Modeling, Schema Design, Query Optimization, Cross-Functional Collaboration, Agile Methodologies, Cloud Services, AWS RDS, GCP Cloud SQL, sqitch, pgtaps, dbt, metaplane, AWS glue.

📝 Enhancement Note: AgileEngine's interview process is designed to evaluate your technical skills in PostgreSQL and SQL performance tuning, as well as your ability to collaborate with cross-functional teams to ensure data reliability and responsiveness. Candidates should be prepared to showcase their experience with data modeling, schema design, and query optimization, as well as their problem-solving skills and technical expertise.

🛠 Technology Stack & Web Infrastructure

Database Technologies:

PostgreSQL: The primary database management system used at AgileEngine, with a strong focus on performance tuning, data modeling, and schema design.
SQL: The standard language used for querying and manipulating data in PostgreSQL and other relational database management systems.

Cloud Services:

AWS RDS: Amazon Relational Database Service, a managed database service provided by Amazon Web Services, used for hosting PostgreSQL databases in the cloud.
GCP Cloud SQL: Google Cloud SQL, a fully-managed database service provided by Google Cloud Platform, used for hosting PostgreSQL databases in the cloud.

DevOps Tools:

sqitch: A database change management tool used for version control, deployment automation, and database schema migration.
pgtaps: A PostgreSQL tap for use with sqitch, providing a simple and efficient way to manage database schema changes.
dbt: A data transformation tool used for transforming data in PostgreSQL and other data warehouses, with a focus on performance and scalability.
metaplane: A data observability platform used for monitoring and troubleshooting data quality, reliability, and performance in PostgreSQL and other databases.
AWS glue: A fully-managed ETL service provided by Amazon Web Services, used for extracting, transforming, and loading data from various sources into data warehouses and data lakes.

📝 Enhancement Note: AgileEngine uses a modern technology stack, with a strong focus on PostgreSQL and SQL performance tuning. Candidates should be familiar with these technologies and prepared to discuss their experience with data modeling, schema design, and query optimization.

👥 Team Culture & Values

Database Administration Values:

User Focus: AgileEngine prioritizes user experience and customer satisfaction, with a strong focus on data reliability, responsiveness, and performance.
Data Integrity: AgileEngine values data integrity and reliability, with a commitment to maintaining high coding standards and best practices for data management.
Collaboration: AgileEngine emphasizes cross-functional collaboration, with a focus on knowledge sharing, mentorship, and continuous learning.
Innovation: AgileEngine encourages innovation and experimentation, with a commitment to staying up-to-date with the latest technologies and best practices in database management.

Collaboration Style:

Cross-Functional Integration: AgileEngine's database engineering team works closely with engineers, QA, and DevOps to ensure data reliability, responsiveness, and efficient data flow.
Code Review Culture: AgileEngine emphasizes code reviews, with a focus on knowledge sharing, mentorship, and continuous learning.
Peer Programming: AgileEngine encourages peer programming, with a focus on collaboration, knowledge sharing, and continuous improvement.

📝 Enhancement Note: AgileEngine's database engineering team values user focus, data integrity, collaboration, and innovation. Candidates should be prepared to work in a dynamic and collaborative environment, with a focus on user experience and customer satisfaction.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Performance Optimization: Design and implement efficient PostgreSQL schemas to support product features and scalability, with a focus on performance tuning and query optimization.
Data Modeling: Create and maintain complex relational database systems, with a focus on data modeling, schema design, and query optimization.
Scalability: Ensure the scalability and responsiveness of AgileEngine's databases, with a focus on high availability and fault tolerance.
Data Integration: Support data integration and migration efforts across environments, with a focus on data integrity and reliability.

Learning & Development Opportunities:

Technical Skill Development: As a mid-level database administrator, you will have the opportunity to advance your skills in PostgreSQL and SQL performance tuning, as well as expand your knowledge of other database systems and cloud services.
Conference Attendance: AgileEngine encourages professional development and growth, with opportunities to attend industry conferences and events.
Certification: AgileEngine supports certification and professional development, with opportunities to earn relevant certifications in PostgreSQL and other database management systems.
Mentorship: AgileEngine's collaborative work environment encourages knowledge sharing and mentorship, with opportunities to learn from experienced database administrators and other technical professionals.

📝 Enhancement Note: This role offers significant opportunities for technical and career growth, with a focus on PostgreSQL and SQL performance tuning. Candidates should be prepared to take on challenging projects and collaborate with cross-functional teams to ensure data reliability and responsiveness.

💡 Interview Preparation

Technical Questions:

PostgreSQL Fundamentals: Demonstrate your understanding of PostgreSQL and SQL performance tuning, with a focus on data modeling, schema design, and query optimization.
Performance Optimization: Explain your approach to performance optimization and query tuning, with specific examples of your work in PostgreSQL.
Problem-Solving: Showcase your problem-solving skills, with a focus on performance optimization and scalable architecture.

Company & Culture Questions:

AgileEngine Culture: Discuss your understanding of AgileEngine's people-first culture and commitment to professional growth.
Agile Methodologies: Explain your experience with Agile development methodologies, with a focus on iterative development, continuous improvement, and customer satisfaction.
User Experience Impact: Describe your approach to ensuring data reliability, responsiveness, and performance, with a focus on user experience and customer satisfaction.

Portfolio Presentation Strategy:

Live Demo: Prepare a live demo of your portfolio, showcasing your experience with PostgreSQL and SQL performance tuning, with a focus on data modeling, schema design, and query optimization.
Code Explanation: Be prepared to explain your code and architecture decisions, with a focus on performance optimization and scalability.
User Experience Showcase: Highlight your ability to ensure data reliability, responsiveness, and performance, with a focus on user experience and customer satisfaction.

📝 Enhancement Note: AgileEngine's interview process is designed to evaluate your technical skills in PostgreSQL and SQL performance tuning, as well as your ability to collaborate with cross-functional teams to ensure data reliability and responsiveness. Candidates should be prepared to showcase their experience with data modeling, schema design, and query optimization, as well as their problem-solving skills and technical expertise.

📌 Application Steps

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

Online Assessment: Complete the online assessment to evaluate your technical skills in PostgreSQL and SQL performance tuning.
Technical Phone Screen: Participate in a technical phone screen to discuss your experience with data modeling, schema design, and query optimization.
On-site Interview: Visit AgileEngine's office in Mar del Plata for an on-site interview, where you will meet the team, discuss your portfolio, and participate in a technical deep dive.
Final Decision: AgileEngine will make a final decision based on your technical skills, cultural fit, and alignment with the company's values.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and database administration industry-standard assumptions. All details should be verified directly with AgileEngine before making application decisions.

PostgreSQL Database Engineer (Junior/Middle) ID38796