Data Engineer

Ardent Principles, Inc. • ,

4d • $130,000 - $260,000 • Onsite

About The Position

Ardent Principles is seeking a mission-driven Data Engineer to transform complex, disparate data into reliable, scalable pipelines that support analytics, automation, and decision-making across high-impact programs. The role focuses on building robust data architectures, maintaining data integrity, and collaborating with cross-functional technical teams. It is a contingent, full-time, onsite position in McLean, Virginia, during core hours, and requires an active TS/SCI with CI Polygraph clearance.

Requirements

• Active TS/SCI with CI Polygraph.
• Demonstrated experience in data engineering, including designing and building data infrastructure, developing pipelines, transforming and preparing data, ensuring data quality and security, and monitoring and optimizing systems.
• Experience with data management and integration, including designing and operating data layers for application development across local, cloud, or web data sources.
• Programming experience with Python.
• Experience building scalable ETL and ELT workflows for reporting and analytics.
• Experience with general Linux computing and advanced bash scripting.
• Experience using SQL and database technologies such as PostgreSQL, MySQL, Neo4J, or RDS to construct complex multi-source queries.
• Experience processing structured or unstructured data.
• Experience developing data pipelines with NiFi.
• Experience delivering results to stakeholders through written documentation and oral briefings.
• Experience using code repositories such as Git.
• Experience using Elastic and Kibana technologies.
• Experience documenting code, Python packages, and methodologies.
• Experience using Jupyter Notebooks.
• Experience with machine-learning techniques, including natural language processing.
• Ability to explain complex technical issues to junior data scientists in graphical, verbal, or written formats.
• Experience developing tested, reusable, and reproducible work.
• Work or educational background in at least one of mathematics, statistics, hard sciences, computer science, data science, or business analytics.

Nice To Haves

• Experience using cloud services such as AWS and cloud data technologies and architecture.
• Experience using big data processing tools such as Apache Spark or Trino.
• Experience working with machine-learning algorithms.
• Experience using container frameworks such as Docker or Kubernetes.
• Experience using data visualization tools such as Tableau, Kibana, or Apache Superset.
• Experience creating learning objectives and teaching curricula in technical or scientific fields.

Responsibilities

• Design and build data infrastructure, develop data pipelines, transform and prepare data, ensure data quality and security, and monitor and optimize systems.
• Design and operate robust data layers for application development across local, cloud, and web data sources.
• Build scalable ETL and ELT workflows for reporting and analytics.
• Construct complex queries across multiple data sources using database technologies such as PostgreSQL, MySQL, Neo4J, or RDS.
• Process structured and unstructured data sources.
• Develop NiFi data pipelines to bring data into a central environment.
• Deliver results to stakeholders through written documentation and oral briefings.
• Document code, Python packages, and methodologies.
• Use machine-learning techniques, including natural language processing.
• Explain complex technical issues to more junior data scientists in graphical, verbal, or written formats.
• Develop tested, reusable, and reproducible work.
• Work with multiple stakeholders.

Benefits

• Generous paid time off.
• Dedicated training budget supporting continuous learning and professional development.
• 100% employer-covered family vision, dental, and health insurance.
• 100% employer-covered life and disability insurance.
• 401(k) plan with a 6% employer match and 100% vesting from day one.
• 11 paid government holidays.
• Spot bonuses for exceptional performance.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed