Postgresql Etl information
See salary details
$31.73 - $36.21
1% of jobs
$36.21 - $40.69
6% of jobs
$40.69 - $45.17
7% of jobs
$48.62 is the 25th percentile. Wages below this are outliers.
$45.17 - $49.65
14% of jobs
$49.65 - $54.13
17% of jobs
The median wage is $55.45 / hr.
$54.13 - $58.61
18% of jobs
$62.75 is the 75th percentile. Wages above this are outliers.
$58.61 - $63.09
14% of jobs
$63.09 - $67.57
10% of jobs
$67.57 - $72.05
7% of jobs
$72.05 - $76.53
3% of jobs
$76.53 - $81.01
3% of jobs
How much do postgresql etl jobs pay per hour?
As of Sep 9, 2026, the average hourly pay for postgresql etl in the United States is $57.38, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $64.18 per hour, depending on experience, location, and employer.
PostgreSQL ETL jobs refer to tasks or processes that involve extracting data from various sources, transforming it into a suitable format, and loading it into a PostgreSQL database. These jobs are critical for integrating, cleaning, and organizing data to support analytics and business intelligence. ETL in PostgreSQL can be performed using built-in tools, custom SQL scripts, or third-party ETL platforms. The goal is to ensure that data is accurate, consistent, and readily available for analysis. Common use cases include data warehousing, reporting, and migrating data between systems.
To thrive as a PostgreSQL ETL specialist, you need expertise in SQL, database design, data warehousing concepts, and experience with ETL processes, typically supported by a relevant degree in computer science or information systems. Familiarity with PostgreSQL, ETL tools like Talend or Apache NiFi, and knowledge of data integration frameworks are essential, along with certifications such as PostgreSQL Certified Engineer. Strong problem-solving, attention to detail, and effective communication skills help ensure efficient data migration and collaboration with cross-functional teams. These skills are vital for maintaining data integrity, optimizing workflows, and delivering reliable data solutions in complex environments.
PostgreSQL ETL professionals often encounter challenges such as optimizing data extraction and transformation processes to handle large datasets efficiently. Managing data consistency, minimizing downtime during migrations, and addressing performance bottlenecks—especially with complex joins or transformations—are frequent concerns. Additionally, ensuring compatibility between source and target systems and maintaining data integrity throughout the ETL workflow requires careful planning and robust error-handling strategies. Collaborating closely with database administrators, data engineers, and business analysts is essential for successful project outcomes.
What other helpful pages are available for Postgresql Etl?
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