TS/SCI Data Engineer — ETL Pipelines & Dashboards

Machine Learning Technologies, LLC; Reston (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an ETL Developer to design and maintain data pipelines supporting national security missions. You will leverage Python-based workflows to extract, transform, and load data across diverse environments, collaborating with cyber analysts to operationalize datasets.

You will build data cleansing routines, apply SQL analytics, and create dashboards in Tableau/Power BI while ensuring security and governance in cloud and on-prem systems.

Qualifications

• ETL development for data pipelines (cyber data) including extraction, cleansing, and preparation for analytics.
• Proficient in data warehousing, data management, programming (Python), and ETL tools (NiFi, Pentaho, Kafka).
• Familiarity with the cyber domain and experience designing SQL-based data systems and complex queries.
• Experience deploying interactive dashboards with Tableau and/or Power BI; cloud environments (GCP, AWS); containerization with Docker/Kubernetes.

Responsibilities

• Develop, maintain, and execute data extraction pipelines across multiple environments.
• Engineer Python-based ETL pipelines to ingest, cleanse, and optimize large datasets.
• Prepare data using Python and SQL for exploratory analysis.
• Design and deploy dashboards and reports in Tableau/Power BI.

Skills

Python programming

SQL queries

Data warehousing

ETL development

Data analysis

Education

Bachelor's degree or higher in related field

Tools

Apache NiFi

Pentaho

Kafka

Google Cloud Platform

AWS

Docker

Kubernetes

GitHub

Tableau

Power BI

Job description

Machine Learning Technologies, LLC is seeking an ETL Developer to design and maintain data pipelines supporting national security missions. You will leverage Python-based workflows to extract, transform, and load data across diverse environments, collaborating with cyber analysts to operationalize datasets.

You will build data cleansing routines, apply SQL analytics, and create dashboards in Tableau/Power BI while ensuring security and governance in cloud and on-prem systems.