Cleared ETL Data Engineer (Multi-Level) (TSSCI w poly) Chantilly, VA

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Cleared ETL Data Engineer (Multi-Level)

• TS/SCI with Polygraph
• Chantilly VA
• Posted Salary Range USD $90700.00 - USD $188725.00 /Yr.

Noblis is seeking Data Engineers at multiple levels to join our team in support of national security missions.

As the ETL Developer you analyze our clients challenges and provide solutions by identifying and applying new tools and technologies to help design new data repositories. You will be responsible for maintaining and expanding the data pipeline that fuels critical national security missions and manipulating data and data flows for both existing and new systems. You will provide support in the areas of data extraction transformation and load (ETL) data mapping data extraction analytical support operational support database support and maintenance support of data and associated systems. Additionally you will work alongside our team and cyber analysts performing data engineering to identify data sets.

The ideal candidate will have a deep background in Python-based data workflows and experience working in classified IC environments.

Job Responsibilities:

• Developing maintaining and executing data extraction pipelines to transport data in and out of multiple environments.
• ETL Development and Data Cleansing: Engineering Python-based ETL pipelines to ingest clean and optimize large datasets from various sources refining data quality and processing efficiency.
• Data Preparation: Applying Python and SQL for data cleaning integration and exploratory analysis to uncover valuable insights extracted from large volumes of data.
• Data Visualization: Designing and deploying interactive dashboards and reporting in visualization tools (e.g. Tableau Power BI)
• Improving application performance by optimizing and executing SQL queries to support data handling.
• Loading data into storage systems like databases or data warehouses.
• Building and maintaining data infrastructure (e.g. NiFi Pentaho Hevo).
• Maintaining and documenting ETL workflows and recording data movement/changes.
• Working in an Agile environment to rapidly iterate with our -functional collaboration: Partner closely with data scientists data engineers and application developers to translate complex business requirements into robust technical implementations.