ETL Data Engineer - Multiple Levels (Cleared) - Chantilly, VA

MSCCN; Chantilly (VA); On-site; USD 91,000 - 189,000; Full time

Job summary

Noblis seeks Data Engineers to support national security missions, focusing on Python-based ETL and data workflows. Responsibilities include building pipelines, data cleansing, and dashboarding with Tableau/Power BI in a classified IC environment.

On-site role with strong emphasis on data infrastructure and cross-functional collaboration. The ideal candidate has extensive Python experience, data warehousing know-how, and familiarity with cloud/container tech.

Qualifications

• Requires US Citizenship and TS/SCI with Polygraph
• Experience building ETL pipelines for data in cyber environments
• Proficient in data warehousing, data management, Python, and ETL tools
• Familiarity with cyber domain and SQL-based data systems
• Experience with Tableau and/or Power BI dashboards
• Experience with cloud environments (GCP/AWS) and containerization
• Experience with Git-based workflows
• Ability to perform API service development

Responsibilities

• Develop, maintain, and execute data extraction pipelines across environments
• Engineer Python-based ETL pipelines to ingest, clean, and optimize large datasets
• Prepare data using Python and SQL for analytics and reporting
• Design and deploy dashboards in Tableau/Power BI
• Optimize SQL queries to improve data handling performance
• Load data into databases or data warehouses
• Build and maintain data infrastructure (NiFi, Pentaho, Hevo)
• Document ETL workflows and data movement changes
• Collaborate with data scientists, engineers, and developers in Agile environments

Skills

Python

ETL

SQL

Data Warehousing

Tableau

Power BI

Apache NiFi

Pentaho

Kafka

Docker

Kubernetes

GitHub

Education

Bachelor’s degree

Associate’s degree

High School diploma/GED

Tools

Tableau

Power BI

Apache NiFi

Pentaho

Kafka

Docker

Kubernetes

GitHub

Job description

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard, Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. Unless specifically stated otherwise, this role is 'On-Site'.

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 clients.Cross-functional collaboration: Partner closely with data scientists, data engineers, and application developers to translate complex business requirements into robust technical implementations.

Required Experience

Required Qualifications

• US Citizenship is required
• Clearance: Active Top-Secret SCI (TS/SCI) with Polygraph
• Experience performing extract, transformation, load (ETL)developmentfor data pipelines (specifically cyber data); to include integrating, cleansing, and preparing data from sources for analytics and reporting.
• Proficient in data warehousing, data management, programming (e.g., Python), and ETL tools (e.g., Apache NiFi, Pentaho, Kafka).
• Familiarity with the cyber domain.
• Experience designing and maintaining SQL-based data systems and crafting complex queries.
• Experience designing and deploying interactive dashboards and integrating data systems with visualization and analytics platforms using Tableau and/or Power BI.
• Experience with a cloud environment (e.g., GCP, AWS), including its security containerization technologies (e.g., Docker, Kubernetes).
• Language experience with Python.
• Experience with Git-based workflows and code repository platforms such as GitHub.
• Ability to perform API servicedevelopment.

Level II: Bachelor’s degree with 3 years of related experience; OR associate’s degree with 6 years of related experience; OR High School diploma/GED with 9 years of related experience.

Compensation: $90,700 - $141,775

Level III: Bachelor’s degree with 5 years of related experience; OR Master's degree with 3 years of related experience; OR associate’s degree with 8 years of related experience; OR High School diploma/GED with 11 years of related experience.

Compensation: $120,700 - $188,725

Preferred Experience

Desired Qualifications

• Experience with Hadoop and Spark
• Experience with Elasticsearch
• Experience with open-source cyber data sets such as Shodan and Censys.IO
• Experience with creating and implementing Artificial Intelligence (AI) models and tools

Certificates/Security Clearances/Other

• Active TS/SCI w/ polygraph