Senior Data Engineer with Security Clearance

River Hawk Consulting; McLean (VA); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

River Hawk Consulting LLC in the Northern Virginia area is seeking an experienced Senior Data Engineer to join our development team. You will design, develop, and optimize data pipelines and workflows using Python and SQL, ensuring data availability and integrity across systems.

You will lead transformations with PySpark, implement secure, cost-efficient AWS data solutions, and promote best practices for GitHub, Linux, Terminal/CLI, and Jira in an Agile, fast-paced environment.

Formación

• Design and maintain scalable data pipelines with Python and SQL.
• Lead data transformations using PySpark in distributed processing environments.
• Build reliable AWS data solutions with emphasis on security and cost-efficiency.
• Promote best practices for GitHub, Linux, Terminal/CLI and Agile delivery.

Responsabilidades

• Design, develop, maintain, and optimize scalable data pipelines and data processing workflows using Python and SQL.
• Lead the development of data transformations and processing solutions, leveraging PySpark and distributed data processing concepts.
• Design and implement reliable, secure, and cost-effective data solutions using AWS, while troubleshooting complex data and infrastructure issues.
• Establish and promote best practices for GitHub, Linux, Terminal/CLI, and Jira, including code quality, version control, documentation, and Agile delivery.

Conocimientos

Python

SQL

PySpark

Data modeling

Herramientas

AWS

GitHub

Linux

Jira

Descripción del empleo

We are seeking an experienced Senior Data Engineer to join our development team in the Northern Virginia area. This individual will work closely with cross-functional teams to develop reliable data solutions, optimize data processing workflows, and ensure the availability, quality, and integrity of data. This role requires strong technical problem-solving skills, attention to detail, and the ability to collaborate effectively in a collaborative, fast-paced environment.

Responsibilities:

• Design, develop, maintain, and optimize scalable data pipelines and data processing workflows using Python and SQL.
• Lead the development of data transformations and processing solutions, leveraging PySpark and distributed data processing concepts.
• Design and implement reliable, secure, and cost-effective data solutions using AWS, while troubleshooting complex data and infrastructure issues.
• Establish and promote best practices for GitHub, Linux, Terminal/CLI, and Jira, including code quality, version control, documentation, and Agile delivery.