The Role
Build and maintain scalable data infrastructure and ETL/ELT pipelines using Python, SQL, NiFi, Linux, and database technologies. Integrate structured and unstructured data, ensure data quality and security, optimize systems, and document reproducible solutions. Collaborate with stakeholders, deliver technical briefings, use machine learning and NLP techniques, and explain complex concepts to junior data scientists. The role is full-time, onsite in McLean, Virginia, and requires an active TS/SCI clearance with CI polygraph.
Summary Generated by Built In
REQUIRED: Active TS/SCI with CI Polygraph
LOCATION: Full-time, onsite in McLean, VA
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.
LOCATION: Full-time, onsite in McLean, VA
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
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. 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.
With a competitive salary and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities.
Join us and let's shape the future together!
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. 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.
With a competitive salary and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities.
Join us and let's shape the future together!
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:
- Using cloud services, such as AWS, as well as cloud data technologies and architecture.
- Using big data processing tools such as Apache Spark or Trino
- Working with machine learning algorithms
- Using container frameworks such as Docker or Kubernetes
- Using data visualizations tools such as Tableau, Kibana or Apache Superset
- Creating learning objectives and creating teaching curriculum in technical or scientific fields.
What We Offer
- Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
- Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
- Dedicated Training Budget: Supporting continuous learning and professional development.
- 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
- 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
- 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
- 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
- Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.
SCHEDULE:
This is a contingent, full-time position working onsite in McLean, VA during core hours.
Ready to take the next step in your career? Join us and be part of a team dedicated to driving positive change through technology. Apply now with our easy 3-minute, mobile-friendly initial application process. Your future starts here!
About
At Ardent Principles, we're more than just a technology company - we're a team of innovators, problem-solvers, and collaborators dedicated to pushing the boundaries of what's possible. Our mission is to empower organizations with transformative IT solutions and program management services, while our values of integrity, excellence, and teamwork guide everything we do. We foster a culture of open communication, where every voice is heard, and every idea is valued. Join us and be part of a company where your contributions truly make a difference.
Skills Required
- Active TS/SCI clearance with CI polygraph
- Onsite availability in McLean, Virginia during core hours
- Experience designing and building data infrastructure and pipelines
- Experience transforming and preparing data while ensuring data quality and security
- Experience with data management and integration across local, cloud, or web data sources
- Programming experience with Python
- Experience building scalable ETL and ELT workflows
- General Linux computing and advanced Bash scripting experience
- SQL experience
- Experience constructing complex multi-source queries using PostgreSQL, MySQL, Neo4j, or RDS
- Experience processing structured and unstructured data
- Experience developing data pipelines with Apache NiFi
- Experience using Git or similar code repositories
- Experience with Elasticsearch and Kibana
- Experience using Jupyter Notebooks
- Experience with machine learning techniques, including natural language processing
- Experience developing tested, reusable, and reproducible work
- Ability to document technical artifacts and communicate technical issues to stakeholders and junior data scientists
- Background in mathematics, statistics, hard sciences, computer science, data science, or business analytics
- Experience with AWS and cloud data technologies
- Experience with Apache Spark or Trino
- Experience with machine learning algorithms
- Experience with Docker or Kubernetes
- Experience with Tableau, Kibana, or Apache Superset
- Experience creating technical or scientific learning objectives and curricula
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The Company
What We Do
Ardent Principles, Inc. is a people-focused IT and management consulting firm for commercial and government clients, specializing in IT services and program management, and offering advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, and staff augmentation.
