Data Engineer Python (4144)

SMX

SMX, a leader in enabling mission success, seeks a Data Engineer to enhance their data management practices. This role supports their Washington, DC team remotely, contributing to vital national security and healthcare projects through innovative digital transformation.

In this role you can expect to have the responsibilities:

• Design and develop ETL processes using Python and Apache Airflow.
• Collaborate with stakeholders to meet data requirements.
• Implement data validation processes to maintain quality.
• Troubleshoot and resolve data pipeline issues.
• Optimize ETL processes for improved performance.
• Document data processes and schemas.
• Stay updated with industry trends and technologies.

This role comes with the following benefits:

• Opportunity to work on priority national security initiatives.
• Participation in transformative digital projects.

This role requires you to have:

• Proficiency in Python and related libraries like Pandas, NumPy, and Django.
• Expertise in Apache Airflow.
• Experience with SQL and NoSQL databases.
• Strong understanding of ETL processes.
• Experience with data warehousing solutions.

You would benefit from having:

• Knowledge of data modeling and data warehousing.

US Citizenship is required for federal clearance. SMX values diversity and equal opportunities, considering all qualified candidates without discrimination. Selected candidates may undergo background checks and education verification.