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# Data Engineer with Security Clearance

- **Company:** Ardent Principles
- **Location:** McLean, VA, United States
- **Salary:** $130,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Bash Shell, Cloud Computing, Computational Biology, Computer Programming, Databases, Data Architecture, Information Engineering, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Linux, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, Natural Language Processing, Neo4j, Software Engineering, SQL Databases, Unstructured Data, Jupyter Notebook, Software Repository, Git, Data Layers, Information Technology, Apache Nifi, Data Management, Kibana, Data Pipelines
- **Published:** October 20, 2026
- **Apply:** https://www.adzuna.com/details/5935165164

## About the Role

CONTINGENT We are seeking a Data Engineer who thrives in a mission-driven, environment. This role is ideal for someone who can transform complex, disparate data into reliable, scalable pipelines that power analytics, automation, and decision-making across high-impact programs. If you excel at building robust data architectures, ensuring data integrity, and collaborating with cross-functional technical teams, you'll find this work both challenging and deeply meaningful. Passionate Integrity, Driven by Excellence, $130,000 - $260,000 / year Key Responsibilities In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with: * Data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems. * Data management and integration, including designing and operating robust data layers for application development across local and cloud or web data sources. * Programming with Python * Building scalable ETL and ELT workflows for reporting and analytics. * Using general Linux computing and advanced bash scripting * Using SQL. * Constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS. * Processing data sources containing structured or unstructured data. * Developing
data pipelines with NiFi to bring data into a central environment * Delivering results to stakeholders through written documentation and oral briefings * Using code repositories such as Git * Using Elastic and Kibana technologies * Working with multiple stakeholders * Documenting such artifacts as code, Python packages and methodologies * Using Jupyter Notebooks * Machine learning techniques including natural language processing * Explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats * Developing tested, reusable and reproducible work * Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics. Highly Desired Qualifications Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include: *