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# AWS Data Engineer

- **Company:** Peoplentech Llc
- **Location:** Alexandria, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon S3, Bash Shell, Big Data, Cloud Database, Databases, Directed Acyclic Graph (Directed Graphs), Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Loss, Data Warehousing, Database Queries, Database Security, Python (Programming Language), PostgreSQL, Performance Tuning, Reliability Engineering, Prometheus, SQL Databases, Workflow Management Systems, Data Processing, Scripting, Cloud Platform System, Apache Spark, Debezium, Information Technology, AWS Data Analytics, Apache Kafka, Data Management, Cloudwatch, Terraform, Data Pipelines, Amazon Redshift
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/aws-data-engineer-alexandria-va--3af5c33b-07af-47e7-adbe-2ba651ba0ffd

## About the Role

Amazon Web Services (AWS), Reliability Engineering, Data Warehousing, Data Management, PostgreSQL, Database Extract Transform and Load (ETL), Amazon Web Services (AWS), Resource Utilization, CPU (Central Processing Unit), Memory Hardware, Familiarity with data pipeline concepts and technologies such as Debezium, Kafka Connect, and ETL frameworks.
Basic understanding of Amazon 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 basic data manipulation.
Familiarity with scripting languages (e.g., Python, Bash) is a plus.
Knowledge of database security best practices, including access controls, encryption, and compliance with regulatory requirements (e.g., GDPR, HIPAA).
Having an 'AWS Certified Database - Specialty' certification is a plus., Bachelor's degree in computer science, Information Technology, or a related field.
5-8 years of experience in data Engineering, with a focus on PostgreSQL.
2-4 years of hands-on experience with PostgreSQL RDS

## Description

As a Data Reliability Engineer II, you will play a crucial role in developing, optimizing, and managing several large data lakes and data warehouses, comprising data from multiple disparate sources., Need a data engineer with extensive experience in PostgreSQL and AWS, who has previous experience creating data pipelines (ETL/ELT). He / She who have previous experience in creating data pipelines ( ETL / ELT)
Proactively monitor PostgreSQL RDS instances for performance, availability, and resource utilization (CPU, memory, storage, connections) using established monitoring tools (e.g., CloudWatch, Prometheus).
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 the health and performance of Debezium and Kafka Connect connectors, identifying and troubleshooting basic issues related to data capture and delivery.
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.
Monitor the execution of Apache Airflow DAGs, identify failed tasks, and troubleshoot and re-run them.
Develop and maintain automation scripts and infrastructure as code (IAC) templates (e.g., using Crossplane, Terraform) to automate routine database tasks, deployments, and updates.
Participate in on-call rotations to respond to database-related incidents and perform troubleshooting and root cause analysis.
Assist in implementing and maintaining security best practices for cloud databases, including access controls, encryption, and compliance with regulatory requirements.
Regularly audit and assess database security configurations.
Configure and manage database backup and recovery strategies to ensure data integrity and availability in case of failures or data loss.
Analyse 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.