Applications Developer

Ardent Principles, Inc.•Herndon, VA

4h•Onsite

About The Position

We’re seeking an Applications Developer with experience in Linux, Python, and large‑scale data processing. You’ll build and optimize cloud‑native solutions in AWS/C2S, develop robust ETL pipelines for massive structured and unstructured datasets, and write high‑performance SQL for complex data operations. Ardent Principles offers a competitive salary range and a comprehensive, industry‑leading benefits package designed to support long‑term stability and employee well‑being. We provide more than a position—we offer a workplace committed to excellence, integrity, and mission‑focused impact. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients. Join us as we continue building the future of secure, high‑impact solutions.

Requirements

Active TS/SCI with Full Scope Polygraph
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
Minimum 6-8 years working in Linux Operating system with updating the system for efficient parallel processing, understanding memory, storage and processing data at scale
Minimum 6-8 years in Object Oriented programming. Python is preferred software development language
Minimum 6-8 years of demonstrated experience with applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment. Willing to consider substituting C2S if candidate has a minimum 4-6 years of cloud computing technology to include Azure, Oracle, Google, etc.
Minimum 4-6 years of demonstrated (Extract, Transform, Load - ETL) with large structured and unstructured raw data sets. Strong experience with ETL tools such as Informatica, Talend, SSIS, AWS Glue, or Azure Data Factory.
Proficiency in SQL, including complex queries and query optimization.
6-8 Years of experience with AWS platform including understanding EC2, RCS instance types
Strong understanding of data warehousing concepts, data modeling, and schema design.
Hands-on experience with scripting languages such as Python, Bash, or PowerShell.
Familiarity with relational and NoSQL databases.
Using version control systems such as Git.

Nice To Haves

Working with big data technologies (e.g., Spark, Hadoop, Databricks).
Working with transformer-based models (e.g., BERT) and modern NLP architectures
Background in document exploitation, e-discovery, or large-scale search platforms
Working with multi-modal analytics (OCR, image recognition, text + image fusion)
Familiarity with search technologies (Solr, Elasticsearch, Lucene)
Containerization and DevSecOps pipelines (Docker, CI/CD)
Cloudera or similar big data certifications
Developing risk scoring, anomaly detection, or predictive analytic models

Responsibilities

Build and optimize cloud-native solutions in AWS/C2S.
Develop robust ETL pipelines for massive structured and unstructured datasets.
Write high-performance SQL for complex data operations.
Update the Linux system for efficient parallel processing, understanding memory, storage and processing data at scale.
Develop applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment.
Perform Extract, Transform, Load (ETL) with large structured and unstructured raw data sets.
Write complex SQL queries and optimize queries.
Utilize AWS platform including understanding EC2, RCS instance types.
Design data warehouses, data models, and schemas.
Use scripting languages such as Python, Bash, or PowerShell.
Work with relational and NoSQL databases.
Use version control systems such as Git.