Data Engineer

Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics requirements within the DISA enterprise.
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver high-quality data solutions.
• Implement data models, schemas, and database structures to ensure efficient data storage and retrieval.
• Optimize and tune data processing workflows for performance and scalability.
• Develop and maintain documentation for data engineering processes, workflows, and systems.
• Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to operations.

Qualifications:

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field or equivalent experience.
• Minimum of 8 years of experience in data engineering, data warehousing, or a related field.
• Possess an active DoD Secret Clearance or equivalent.
• Knowledge of data governance, data quality, and data security best practices.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

Key Skills:

• Machine learning.
• Programming.
• SQL.
• Databases.
• NoSQL.
• Big data.
• Cloud computing.
• Data pipelines.
• Python.

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