PostgreSQL Database Engineer (Junior/Middle) ID38796
📍 Job Overview
- Job Title: PostgreSQL Database Engineer (Junior/Middle) ID38796
- Company: AgileEngine
- Location: AMCO, Area Metropolitana Centro Occidente, Risaralda, Colombia
- Job Type: Hybrid
- Category: Database Administration
- Date Posted: 2025-07-24
- Experience Level: Intermediate (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 & Maintenance: Maintain and tune database performance, ensuring high availability and responsiveness.
- Collaboration & Data Flow: Collaborate with engineers, QA, and DevOps to streamline data flow and reliability.
- Troubleshooting & Resolution: Monitor, troubleshoot, and resolve database-related issues.
- Data Integration & Migration: Support data integration and migration efforts across environments.
- Best Practices & Standards: Contribute to establishing best practices and maintaining high coding standards for data integrity and reliability.
📝 Enhancement Note: This role requires a balance of technical expertise and strong communication skills to work effectively with cross-functional teams. Candidates should be comfortable collaborating with engineers, QA, and DevOps to ensure data flow and reliability.
🎓 Skills & Qualifications
Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience: 2+ years of experience in database engineering with a focus on PostgreSQL.
Required Skills:
- PostgreSQL database engineering
- Data modeling, creating queries, functions, and ETL code
- Designing, maintaining, and optimizing complex relational database systems
- SQL performance tuning, indexing strategies, and query optimization
- Schema design for scalable and maintainable systems
- 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 technologies like sqitch, pgtaps, dbt, metaplane, AWS glue
📝 Enhancement Note: While the required skills focus on PostgreSQL database engineering, the preferred skills section highlights opportunities for candidates to expand their skillset and work with modern technologies, cloud services, and DevOps practices.
📊 Web Portfolio & Project Requirements
Portfolio Essentials:
- Demonstrate your ability to design and implement efficient PostgreSQL schemas with case studies showcasing your approach to schema design, performance tuning, and data integrity.
- Include examples of your SQL performance tuning, indexing strategies, and query optimization skills.
- Showcase your collaboration skills by highlighting projects where you worked with cross-functional teams to streamline data flow and reliability.
Technical Documentation:
- Provide documentation for your database design and implementation process, explaining your decisions and approach to schema design, performance tuning, and data integrity.
- Include any relevant scripts, queries, or code samples that demonstrate your skills in data modeling, creating queries, functions, and ETL code.
- Document your experience with data integration and migration efforts, highlighting any challenges you faced and how you overcame them.
📝 Enhancement Note: As this role requires a strong focus on PostgreSQL database engineering, your portfolio should emphasize your technical skills in schema design, performance tuning, and data integrity. Include case studies and technical documentation that demonstrate your ability to work effectively with cross-functional teams.
💵 Compensation & Benefits
Salary Range: COP 3,500,000 - 5,500,000 per month (USD 875 - 1,400 based on the current exchange rate)
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: 40 hours per week, with flexible scheduling options for a better work-life balance.
📝 Enhancement Note: The salary range provided is based on market research for database engineering roles in Colombia, with regional adjustments for the location and experience level. The benefits section highlights AgileEngine's commitment to professional growth, competitive compensation, exciting projects, and work-life balance.
🎯 Team & Company Context
🏢 Company Culture
Industry: AgileEngine operates in the software development industry, focusing on application development and AI/ML for Fortune 500 brands and trailblazing startups across 17+ industries.
Company Size: AgileEngine is an Inc. 5000 company with a people-first culture that has earned them multiple Best Place to Work awards. This indicates a mid-to-large-sized company with a strong focus on employee satisfaction and growth.
Founded: AgileEngine was founded in 2000, with over two decades of experience in software development and a proven track record of success.
Team Structure:
- AgileEngine's database engineering team consists of experienced professionals who collaborate with engineers, QA, and DevOps to ensure data flow and reliability.
- The team structure encourages collaboration and knowledge sharing, with mentorship opportunities and personalized growth roadmaps.
Development Methodology:
- AgileEngine follows Agile methodologies, with a focus on iterative development, continuous improvement, and customer satisfaction.
- The company emphasizes collaboration, communication, and cross-functional teamwork to deliver high-quality software solutions.
Company Website: AgileEngine
📝 Enhancement Note: AgileEngine's company culture emphasizes professional growth, collaboration, and customer satisfaction. The team structure encourages knowledge sharing and mentorship, while the development methodology focuses on Agile principles and cross-functional teamwork.
📈 Career & Growth Analysis
Web Technology Career Level: This role is an intermediate (Junior/Middle) position in database engineering, focusing on PostgreSQL. It requires 2+ years of experience and offers opportunities for professional growth and development.
Reporting Structure: The database engineering team works closely with engineers, QA, and DevOps, collaborating to ensure data flow and reliability. The reporting structure encourages cross-functional teamwork and knowledge sharing.
Technical Impact: In this role, you will have a significant impact on the performance, scalability, and reliability of AgileEngine's database systems. Your work will directly contribute to the success of the company's projects and clients.
Growth Opportunities:
- Technical Growth: Expand your skillset by working with modern technologies, cloud services, and DevOps practices. Gain experience in data migration techniques, backend services, and exciting projects with Fortune 500 enterprises and leading product brands.
- Leadership Potential: As you gain experience and demonstrate your technical expertise, you may have the opportunity to take on leadership roles within the database engineering team or mentor junior team members.
- Career Progression: With AgileEngine's focus on professional growth and development, you can advance your career by taking on more complex projects, expanding your skillset, and contributing to the company's success.
📝 Enhancement Note: This role offers significant opportunities for professional growth and development, with a focus on technical skill expansion, leadership potential, and career progression. AgileEngine's commitment to professional growth and mentorship creates an environment that supports the advancement of database engineering careers.
🌐 Work Environment
Office Type: AgileEngine's office is a collaborative workspace that encourages teamwork, knowledge sharing, and cross-functional collaboration. The office is designed to support the company's Agile methodologies and focus on customer satisfaction.
Office Location(s): AMCO, Area Metropolitana Centro Occidente, Risaralda, Colombia
Workspace Context:
- Collaborative Environment: The office features open workspaces that encourage collaboration and communication between team members, fostering a culture of knowledge sharing and continuous learning.
- Development Tools & Resources: AgileEngine provides its team members with access to modern development tools, resources, and technologies to support their work and professional growth.
- Cross-Functional Collaboration: The office layout and workspaces are designed to facilitate cross-functional teamwork, with dedicated spaces for meetings, brainstorming sessions, and project discussions.
Work Schedule: AgileEngine offers flexible scheduling options, allowing team members to tailor their work schedule for an optimal work-life balance. This includes the option to work from home and go to the office, depending on individual preferences and needs.
📝 Enhancement Note: AgileEngine's work environment emphasizes collaboration, knowledge sharing, and cross-functional teamwork. The office layout and workspaces are designed to support the company's Agile methodologies and focus on customer satisfaction, with a commitment to providing modern development tools and resources for professional growth.
📄 Application & Technical Interview Process
Interview Process:
- Technical Assessment (1 hour): A hands-on technical assessment focusing on your PostgreSQL database engineering skills, including data modeling, query optimization, and performance tuning.
- Cultural Fit Interview (30 minutes): A conversation with the hiring manager or a team member to assess your cultural fit, communication skills, and alignment with AgileEngine's values and mission.
- Final Decision (1-2 weeks): After the interviews, the hiring team will review your application and make a final decision.
Portfolio Review Tips:
- Schema Design & Optimization: Highlight your ability to design and implement efficient PostgreSQL schemas, with a focus on schema design, performance tuning, and data integrity.
- Collaboration & Teamwork: Demonstrate your ability to work effectively with cross-functional teams, showcasing your communication skills and commitment to data flow and reliability.
- Technical Documentation: Include documentation for your database design and implementation process, explaining your decisions and approach to schema design, performance tuning, and data integrity.
Technical Challenge Preparation:
- SQL Performance Tuning: Brush up on your SQL performance tuning, indexing strategies, and query optimization skills to excel in the technical assessment.
- Data Modeling & ETL: Familiarize yourself with data modeling techniques and ETL processes to demonstrate your ability to design and implement efficient PostgreSQL schemas.
- Communication & Collaboration: Prepare for the cultural fit interview by reflecting on your communication skills, teamwork experiences, and alignment with AgileEngine's values and mission.
ATS Keywords: PostgreSQL, Database Engineering, Data Modeling, SQL Performance Tuning, Schema Design, Data Integrity, Backups, Replication Strategies, CI/CD Practices, Communication Skills, ETL, Troubleshooting, Collaboration, Data Migration, DevOps, Cloud Services
📝 Enhancement Note: The interview process for this role focuses on assessing your technical skills in PostgreSQL database engineering, as well as your cultural fit and alignment with AgileEngine's values and mission. The portfolio review tips and technical challenge preparation guidance are tailored to help you demonstrate your expertise in schema design, performance tuning, and data integrity, as well as your ability to work effectively with cross-functional teams.
🛠 Technology Stack & Web Infrastructure
Database Technologies:
- PostgreSQL: The primary database management system used by AgileEngine, with a focus on schema design, performance tuning, and data integrity.
- Other Database Systems: Experience with other database systems (e.g., MySQL, MongoDB) is considered a plus, as it may be required for specific projects or client needs.
Cloud Services:
- AWS RDS or GCP Cloud SQL: Familiarity with cloud services like AWS RDS or GCP Cloud SQL is considered a plus, as it may be required for specific projects or client needs.
DevOps Tools:
- Docker, Kubernetes: Experience with DevOps practices (e.g., Docker, Kubernetes) is considered a plus, as it may be required for specific projects or client needs.
📝 Enhancement Note: While the primary focus of this role is PostgreSQL database engineering, experience with other database systems, cloud services, and DevOps tools is considered a plus, as it may be required for specific projects or client needs. Familiarity with these technologies can expand your skillset and open up opportunities for professional growth and development.
👥 Team Culture & Values
Database Engineering Values:
- Expertise & Innovation: AgileEngine values expertise and innovation in database engineering, with a focus on staying up-to-date with the latest trends, best practices, and technologies.
- Collaboration & Communication: The company emphasizes collaboration and communication, with a strong focus on cross-functional teamwork and knowledge sharing.
- Customer Focus: AgileEngine is committed to delivering high-quality software solutions that meet the needs of its clients and customers, with a focus on customer satisfaction and success.
- Continuous Learning & Improvement: The company encourages continuous learning and improvement, with a commitment to professional growth and development for all team members.
Collaboration Style:
- Agile Methodologies: AgileEngine follows Agile methodologies, with a focus on iterative development, continuous improvement, and customer satisfaction.
- Cross-Functional Teamwork: The company encourages cross-functional teamwork, with dedicated spaces for meetings, brainstorming sessions, and project discussions.
- Knowledge Sharing & Mentorship: AgileEngine fosters a culture of knowledge sharing and mentorship, with opportunities for professional growth and development through mentorship programs and personalized growth roadmaps.
📝 Enhancement Note: AgileEngine's database engineering values emphasize expertise, innovation, collaboration, and customer focus, with a commitment to continuous learning and improvement. The collaboration style focuses on Agile methodologies, cross-functional teamwork, and knowledge sharing, with a strong emphasis on professional growth and development.
⚡ Challenges & Growth Opportunities
Technical Challenges:
- Schema Design & Optimization: Design and implement efficient PostgreSQL schemas that support product features and scalability, with a focus on schema design, performance tuning, and data integrity.
- Performance Tuning & Maintenance: Maintain and tune database performance, ensuring high availability and responsiveness, with a focus on SQL performance tuning, indexing strategies, and query optimization.
- Data Migration & Integration: Support data integration and migration efforts across environments, with a focus on data migration techniques and best practices.
- Emerging Technologies: Stay up-to-date with the latest trends, best practices, and technologies in database engineering, with a focus on expanding your skillset and professional growth.
Learning & Development Opportunities:
- Technical Skill Expansion: Expand your skillset by working with modern technologies, cloud services, and DevOps practices. Gain experience in data migration techniques, backend services, and exciting projects with Fortune 500 enterprises and leading product brands.
- Leadership Development: As you gain experience and demonstrate your technical expertise, you may have the opportunity to take on leadership roles within the database engineering team or mentor junior team members.
- Architecture Decision-Making: Contribute to establishing best practices and maintaining high coding standards for data integrity and reliability, with a focus on architecture decision-making and technical leadership.
📝 Enhancement Note: The technical challenges and learning & development opportunities for this role focus on schema design, performance tuning, data migration, and emerging technologies. With AgileEngine's commitment to professional growth and development, you can expand your skillset, take on leadership roles, and contribute to the company's success.
💡 Interview Preparation
Technical Questions:
- SQL Performance Tuning: Be prepared to discuss your approach to SQL performance tuning, indexing strategies, and query optimization, with a focus on real-world examples and case studies.
- Schema Design & Data Modeling: Demonstrate your ability to design and implement efficient PostgreSQL schemas, with a focus on schema design, performance tuning, and data integrity.
- Data Migration & Integration: Prepare to discuss your experience with data migration techniques and best practices, with a focus on data integration and migration efforts across environments.
Company & Culture Questions:
- AgileEngine Values: Familiarize yourself with AgileEngine's values, mission, and commitment to professional growth and development. Prepare to discuss how your skills, experience, and career goals align with the company's culture and objectives.
- Collaboration & Teamwork: Be prepared to discuss your experience with cross-functional teamwork, knowledge sharing, and collaboration, with a focus on your ability to work effectively with engineers, QA, and DevOps.
- Customer Focus: Demonstrate your commitment to customer satisfaction and success, with a focus on delivering high-quality software solutions that meet the needs of AgileEngine's clients and customers.
Portfolio Presentation Strategy:
- Schema Design & Optimization: Highlight your ability to design and implement efficient PostgreSQL schemas, with a focus on schema design, performance tuning, and data integrity. Include case studies and real-world examples that demonstrate your technical expertise and approach to database engineering.
- Collaboration & Teamwork: Showcase your ability to work effectively with cross-functional teams, with a focus on communication, collaboration, and knowledge sharing. Include examples of your experience with cross-functional teamwork, mentorship, and professional growth.
- Technical Documentation: Include documentation for your database design and implementation process, explaining your decisions and approach to schema design, performance tuning, and data integrity. Highlight any relevant scripts, queries, or code samples that demonstrate your skills in data modeling, creating queries, functions, and ETL code.
📝 Enhancement Note: The interview preparation guidance for this role focuses on technical questions related to SQL performance tuning, schema design, and data migration, as well as company & culture questions that assess your alignment with AgileEngine's values and mission. The portfolio presentation strategy emphasizes your technical expertise in schema design, performance tuning, and data integrity, as well as your ability to work effectively with cross-functional teams.
📌 Application Steps
To apply for this PostgreSQL Database Engineer (Junior/Middle) position at AgileEngine:
- Resume Optimization: Tailor your resume to highlight your technical skills in PostgreSQL database engineering, with a focus on schema design, performance tuning, and data integrity. Include relevant keywords and examples to demonstrate your expertise and experience.
- Portfolio Customization: Customize your portfolio to showcase your ability to design and implement efficient PostgreSQL schemas, with a focus on schema design, performance tuning, and data integrity. Include case studies and real-world examples that demonstrate your technical expertise and approach to database engineering.
- Technical Interview Preparation: Brush up on your SQL performance tuning, data modeling, and ETL skills to excel in the technical assessment. Prepare for the cultural fit interview by reflecting on your communication skills, teamwork experiences, and alignment with AgileEngine's values and mission.
- Company Research: Research AgileEngine's values, mission, and commitment to professional growth and development. Prepare to discuss how your skills, experience, and career goals align with the company's culture and objectives.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Candidates must have 2+ years of experience in database engineering with a focus on PostgreSQL and strong knowledge of SQL performance tuning. Familiarity with CI/CD practices and excellent communication skills in English are also required.