Data Engineer

Compunnel, Inc.; Richmond (VA); On-site; USD 95,000 - 140,000; Full time

Job summary

Compunnel, Inc. seeks a Data Engineer to design, build, and optimize a Python-based, AWS-native data ingestion platform. You will move financial data from source systems into a third-party app, while ensuring secure, scalable pipelines and strict governance.

You will implement testing strategies and partner with teams to maintain data quality and platform reliability in a regulated environment.

Qualifications

• Proficiency in building production-grade data processing applications.
• Hands-on experience with AWS services and modern data engineering frameworks.
• Experience with event-driven and streaming architectures.
• Ability to design and develop data ingestion and transformation pipelines.
• Experience implementing CI/CD pipelines and deployment automation.
• Strong understanding of data security, governance, and compliance.

Responsibilities

• Design, develop, and maintain data pipeline components across the full data lifecycle.
• Build scalable data processing solutions using AWS-native services.
• Develop unit, integration, and end-to-end testing strategies.
• Collaborate with cross-functional teams for data quality and platform reliability.
• Ensure compliance with data governance, security, and regulatory requirements.
• Identify and remediate security findings across applications and infrastructure.
• Contribute to CI/CD best practices and deployment automation.
• Monitor and optimize cloud-native data pipelines and platforms.
• Support secure, scalable, and reliable data engineering solutions.

Skills

Python

Data pipelines

AWS services

CI/CD pipelines

Testing methodologies

Data security

Regulatory compliance

Cloud-native troubleshooting

Event-driven architectures

Streaming architectures

Tools

AWS Lambda

AWS ECS

AWS S3

DynamoDB

AWS Flink

Job description

Job Summary

We are seeking a Data Engineer to support the development and enhancement of a Python-based, AWS-native data ingestion platform responsible for moving financial data from source systems into a third-party application. This role focuses on building scalable, secure, and highly reliable data pipelines while ensuring compliance with enterprise data governance, security, and regulatory requirements.

Key Responsibilities

• Design, develop, and maintain data pipeline components across the full data lifecycle, including ingestion, validation, tokenization, transformation, and publishing.
• Build and support scalable data processing solutions using AWS-native services and modern data engineering frameworks.
• Develop and execute unit, integration, end-to-end, and system testing strategies.
• Partner with cross-functional teams during system and user acceptance testing to ensure data quality and platform reliability.
• Ensure compliance with enterprise data governance, security, and regulatory requirements, including the secure handling of sensitive and highly sensitive data.
• Identify, troubleshoot, and remediate application vulnerabilities and security findings across applications, infrastructure, and third-party dependencies.
• Contribute to CI/CD best practices, source control management, and deployment automation.
• Monitor, troubleshoot, and optimize cloud-native data pipelines and processing platforms.
• Support secure, scalable, and reliable cloud-based data engineering solutions.

Required Qualifications

• Strong proficiency in Python.
• Experience building and maintaining production-grade data processing applications.
• Hands-on experience with AWS services, including Lambda, ECS, S3, and DynamoDB.
• Experience with event-driven and streaming architectures.
• Experience designing and developing data ingestion and transformation pipelines.
• Experience implementing CI/CD pipelines and deployment automation.
• Experience with unit, integration, and end-to-end testing methodologies.
• Strong understanding of data security, governance, and compliance requirements.
• Experience supporting the secure handling of sensitive financial or regulated data.
• Ability to troubleshoot complex cloud-native data pipeline and platform issues.

Preferred Qualifications

• Experience with AWS Flink.
• Experience building event-driven architectures and large-scale streaming platforms.
• Experience supporting financial services or other highly regulated environments.
• Familiarity with Infrastructure as Code (IaC) and cloud-native application development.