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Postgres Jobs in Washington, DC (NOW HIRING)

Fintech Engineer

Washington, DC · Remote

$300K - $380K/yr

Python (FastAPI) monolith supported by Postgres and Redis on AWS. We are open to Rust and/or Go for any services that need to be broken out for performance. * Backend serves a REST API that powers ...

Design or refine Postgres schemas to improve data organization and query performance. Required Qualifications: * Demonstrated ability to conduct independent technical research, evaluate emerging AI ...

Must have hands on experience on Sybase, Postgres, AWS, Flyway, Agile * Performance Tuning * Installation/Configuration * Data Card * Trouble Shooting * Experience on Upgrades to recent versions

Must have hands on experience on Sybase, Postgres, AWS, Flyway, Agile * Performance Tuning * Installation/Configuration * Data Card * Trouble Shooting * Experience on Upgrades to recent versions

Senior Software Engineer

Reston, VA · On-site

$127K - $168K/yr

Oracle, Postgres or SQL Server; application frameworks (e.g. J2EE, JBOSS, Spring, Hibernate, OSGI) • Minimum 5 years of experience with web services applications... RESTful designs preferred • ...

Showing results 21-40

Postgres information

See Washington, DC salary details

$12

$65

$88

How much do postgres jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for postgres in Washington, DC is $65.78, according to ZipRecruiter salary data. Most workers in this role earn between $57.16 and $73.80 per hour, depending on experience, location, and employer.

What is a Postgres administrator?

Postgres administrators, often called PostgreSQL DBAs, are professionals responsible for managing and maintaining PostgreSQL databases. Their duties include installing and configuring the database system, performing backups and recovery, optimizing queries, monitoring performance, and ensuring data security. They also handle user permissions, troubleshoot issues, and may assist in database design to support application development. Effective Postgres administrators help ensure that databases run smoothly, securely, and efficiently.

What are some common challenges faced by Postgres database administrators and how can they be addressed?

Postgres Database Administrators often encounter challenges such as managing database performance, ensuring data security, and planning for scalability. Tuning queries and indexing strategies are crucial for maintaining optimal performance, especially as data volume grows. Security is another key focus, requiring regular updates, user access management, and monitoring for vulnerabilities. Collaborating closely with development and operations teams helps address these challenges by streamlining deployment and troubleshooting processes. Continuous learning and leveraging the active Postgres community are also important for staying updated with best practices.

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

To thrive as a PostgreSQL Database Administrator, you need strong expertise in relational database management, SQL proficiency, and a background in computer science or information technology. Familiarity with tools like pgAdmin, command-line utilities, and experience with backup, recovery, and performance tuning are typically required, along with relevant certifications such as PostgreSQL Certified Professional. Analytical problem-solving, attention to detail, and effective communication are essential soft skills for collaborating with development teams and troubleshooting issues. These skills are crucial for ensuring database reliability, optimizing performance, and supporting the data needs of organizations.

What job categories do people searching Postgres jobs in Washington, DC look for?

The top searched job categories for Postgres jobs in Washington, DC are:

Infographic showing various Postgres job openings in Washington, DC as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, and 7% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $136,823 per year, or $65.8 per hour.

Senior Data Engineer (AWS & Snowflake)

otelier.io

Bethesda, MD • On-site

$122K - $146K/yr

Full-time

Re-posted 8 days ago


Job description

Description:
  • Data Pipeline Development: Build and maintain efficient, scalable, and reliable  pipelines to support analytics and reporting workloads. 
  • Data Integration: Implement seamless integration across diverse data sources  (structured, semi-structured, and unstructured) into Snowflake and AWS-based  data platforms (Postgres/Aurora Postgres/Dynamo DB)  
  • Data Governance: Establish and enforce data governance frameworks including  metadata management, data lineage, data quality and data entitlement.  
  • Cloud Engineering: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift,  EMR) to design cloud-native data solutions.  
  • Performance Optimization: Monitor, troubleshoot and optimize data workflows  for speed, scalability, and cost efficiency. 
  • Collaboration: Partner with data architects, analysts and business stakeholders  to translate requirements into technical solutions.  
  • Best Practices: Drive adoption of engineering best practices, including CI/CD,  automation, and Infrastructure-as-Code for data platforms.  
  • Leveraging AI: Any experience in leveraging AI in execution or implementation of  data pipelines and data integration solutions.  
Requirements:
  •  10–12 years of hands-on experience in data engineering.  
  • Strong hands-on expertise in Snowflake data modelling, performance tuning,  CDC, security and governance (Snowpipe, Dynamic Tables, DBT, Streams,  RBAC).  
  • Hands-on experience with AWS services (S3, Glue, Postgres, Redshift, EMR,  IAM).  
  • Proficiency in RDBMS concepts, SQL and programming languages such as  Python or Scala.  
  • Experience with ETL/ELT frameworks and workflow orchestration tools (  Snaplogic, Airflow, DBT).  
  • Good understanding of data governance principles and implementation  experience  
  • Familiarity with DevOps practices and CI/CD pipelines for data engineering.  
  • Excellent problem-solving, communication and stakeholder management skills.  

Preferred Qualifications  

  • Exposure to big data technologies (Spark, Hadoop).  
  • Experience with real-time data streaming (Kafka, Kinesis).  
  • Knowledge of data cataloging tools (Collibra, Alation).  
  • Experience of using  AI tools (Cloude, Cortex)   
  • Prior experience in implementing enterprise-scale data modernization initiatives.