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Postgresql Database Engineer Jobs in Dallas, TX (NOW HIRING)

AWS Cloud Database Engineer

Plano, TX · On-site

$53.50 - $71.50/hr

AWS Cloud Database technologies Redshift, Aurora PostgreSQL, AWS Transfer Family, DynamoDB, AWS Neptune and AWS Timestream. * Developing Terraform and integrating with DevOps pipeline using Jenkins ...

As an Associate Director of Database Engineering for Snowflake, you will lead with strategic vision ... SQL programming & RDBMS experience (Snowflake, Oracle, MS SQL, MySQL, PostgreSQL) * Proficiency in ...

As an Associate Director of Database Engineering for Snowflake, you will lead with strategic vision ... SQL programming & RDBMS experience (Snowflake, Oracle, MS SQL, MySQL, PostgreSQL) * Proficiency in ...

Lead Database Engineering

Dallas, TX · On-site

$120K - $160K/yr

We are looking for a highly self-motivated hands-on Database Engineer who will focus on our ... Administer and maintain SQL Server, Oracle, PostgreSQL, and MySQL databases hosted on cloud ...

Lead Database Engineering

Dallas, TX · On-site +1

$120K - $160K/yr

We are looking for a highly self-motivated hands-on Database Engineer who will focus on our ... Administer and maintain SQL Server, Oracle, PostgreSQL, and MySQL databases hosted on cloud ...

Lead Database Engineering

Dallas, TX · On-site +1

$120K - $160K/yr

We are looking for a highly self-motivated hands-on Database Engineer who will focus on our ... Administer and maintain SQL Server, Oracle, PostgreSQL, and MySQL databases hosted on cloud ...

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Showing results 1-20

Postgresql Database Engineer information

See Dallas, TX salary details

$59.8K

$120.8K

$165.7K

How much do postgresql database engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for postgresql database engineer in Dallas, TX is $120,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $138,500.00 per year, depending on experience, location, and employer.

What is a PostgreSQL Database Engineer?

A PostgreSQL Database Engineer is a technology professional who specializes in designing, implementing, maintaining, and optimizing databases using the PostgreSQL relational database management system. Their responsibilities include database schema design, performance tuning, security management, data backup and recovery, and ensuring high availability. They work closely with developers and system administrators to support application requirements and maintain data integrity. PostgreSQL Database Engineers play a critical role in organizations that rely on robust data storage and management solutions.

What is the difference between Postgresql Database Engineer vs Database Administrator?

AspectPostgresql Database EngineerDatabase Administrator
Primary FocusDesigning, developing, and optimizing PostgreSQL databasesMaintaining, securing, and ensuring the performance of databases
Skills & CertificationsSQL, PostgreSQL expertise, scripting, performance tuningDatabase management, backup/recovery, security protocols
Work EnvironmentDevelopment teams, data engineering projectsIT operations, support teams, enterprise environments

While both roles involve working with databases, a PostgreSQL Database Engineer primarily focuses on designing and optimizing PostgreSQL databases, whereas a Database Administrator handles ongoing maintenance, security, and performance management. The roles often overlap but serve different stages of the database lifecycle.

What are the key skills and qualifications needed to thrive as a PostgreSQL Database Engineer, and why are they important?

To thrive as a PostgreSQL Database Engineer, you need strong expertise in SQL, database design, performance tuning, and a solid understanding of PostgreSQL architecture, often supported by a degree in computer science or a related field. Familiarity with tools like pgAdmin, backup and replication utilities, and relevant certifications such as the EDB PostgreSQL Associate are highly valuable. Attention to detail, problem-solving abilities, and effective communication skills help you excel in managing data integrity and collaborating with development teams. These competencies are essential to ensure reliable, optimized, and secure database environments that support critical business operations.

What are some common challenges faced by PostgreSQL Database Engineers when optimizing database performance?

PostgreSQL Database Engineers often encounter challenges such as managing query performance bottlenecks, optimizing indexing strategies, and balancing workloads across multiple databases. Large datasets and complex queries can sometimes result in slow response times, requiring engineers to analyze query plans and adjust configurations accordingly. Additionally, ensuring data consistency and high availability in distributed environments can be demanding, especially when working with replication and backup strategies. Collaboration with developers and system administrators is crucial to address these challenges effectively and maintain optimal database performance.
What are popular job titles related to Postgresql Database Engineer jobs in Dallas, TX? For Postgresql Database Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Postgresql Database Engineer jobs in Dallas, TX look for? The top searched job categories for Postgresql Database Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Postgresql Database Engineer jobs? Cities near Dallas, TX with the most Postgresql Database Engineer job openings:
Infographic showing various Postgresql Database Engineer job openings in Dallas, TX as of June 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $120,797 per year, or $58.1 per hour.

$116K - $157K/yr

Other

Posted 6 days ago


Job description

MUST HAVE SKILLS (Most Important):
Bachelor's degree in computer science, Engineering, or related field.
We are seeking a skilled Python Developer with expertise in PostgreSQL database management, spatial data handling, and multiprocessing solutions.
- Proven experience (8 years) in Python development, with a focus on data processing and analysis of spatial data.
- Strong proficiency in PostgreSQL database management, including schema design, query optimization, and performance tuning.
- Experience working with spatial data formats (e.g., GeoJSON, Shapefiles) and libraries (e.g., GeoPandas, Shapely).
- Familiarity with multiprocessing techniques and libraries (e.g., multiprocessing, concurrent. futures) for parallel processing.
- Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment.
- Strong communication skills and ability to articulate technical concepts to non-technical stakeholders.
Responsibilities:
- Design, develop, and maintain Python-based applications and tools for spatial data analysis and visualization.
- Implement and optimize PostgreSQL database schemas, queries, and performance tuning for spatial data management.
- Develop multiprocessing solutions to enhance data processing efficiency and scalability.
- Collaborate with cross-functional teams to understand requirements and deliver robust, scalable solutions.
- Stay updated on industry trends and emerging technologies in spatial data analysis, Python development, and database management.