Database Engineer

iQuasar LLC

Database Engineer to work in Reston, VA at iQuasar. Responsibilities include developing data pipelines and maintaining PostgreSQL architecture for enterprise applications.

Posted 7/16/2026full-timeReston • Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing applications and data pipelines using PostgreSQL, Python, and AWS, with a strong focus on database architecture, performance optimization, and ETL workflows. Proficient in troubleshooting and ensuring data integrity and availability in cloud environments.

Highest-signal resume keywords

PostgreSQL Database ArchitectureAWS GlueData Pipeline DevelopmentSQL ScriptingAWS Certified Database - Specialty

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PostgreSQLPythonSQLETLAWSApache SparkApache AirflowDatabase Performance TuningData MigrationData Integrity

Tools & Technologies

AWS RDSKafka ConnectAmazon RedshiftAmazon S3Bash

Certifications & Qualifications

AWS Certified Database - Specialty

Industry Keywords

Data EngineeringCloud DatabasesDatabase Schema DesignPerformance BottlenecksContinuous Improvement

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudETLKafkaPostgresPythonSparkSQL

About the role

Key responsibilities & impact

Develop applications and data pipelines using PostgreSQL, Python and AWS
Design, develop, and maintain PostgreSQL database architecture for enterprise backend applications
Lead schema design, database migrations, versioning, and ensure backward compatibility
Optimize SQL queries, indexing strategies, execution plans, and overall database performance
Assist in identifying performance bottlenecks in PostgreSQL RDS
Apply basic performance tuning techniques like reviewing query execution plans, adding missing indexes, and recommending parameter adjustments
Monitor ETL workflows and data pipelines for errors, performance bottlenecks, and processing delays
Troubleshoot and resolve issues to ensure reliable and timely data movement
Provide support for data related issues and participate in root cause analysis
Configure and manage database backup and recovery strategies to ensure data integrity and availability in case of failures or data loss
Analyze database query performance and collaborate with developers to optimize SQL queries and schemas
Participate in continuous improvement initiatives to enhance the reliability, scalability, and performance of cloud databases
Assist in the design and optimization of database schemas for cloud environments

Requirements

What you’ll need

Bachelor's degree in computer science, Information Technology, or a related field
5-8 years of experience in data Engineering, with a focus on AWS Glue, Python and PostgreSQL
2-4 years of hands-on experience with PostgreSQL RDS
Familiarity with data pipeline concepts and technologies such as Kafka Connect, and ETL frameworks
Strong understanding of Amazon Glue, Redshift and S3
Exposure to Apache Spark for data processing
Basic understanding of Apache Airflow for workflow orchestration
Strong SQL scripting skills for querying and data manipulation
Strong experience with scripting languages (e.g., Python, Bash)
Having ‘AWS Certified Database - Specialty’ certification is a plus.

Benefits

Comp & perks

Health, Vision, and Dental Insurance
matching 401k plan
excellent training
vibrant working environment