Data Preparation: Applying Python and SQL for data cleaning, integration, and exploratory analysis to uncover valuable insights extracted from large volumes of data.
Data Visualization: Designing and deploying interactive dashboards and reporting in visualization tools (e.g., Tableau, Power BI)
Improving application performance by optimizing and executing SQL queries to support data handling.
Loading data into storage systems like databases or data warehouses.
Building and maintaining data infrastructure (e.g., NiFi, Pentaho, Hevo).
Maintaining and documenting ETL workflows and recording data movement/changes.
Working in an Agile environment to rapidly iterate with our clients.
Cross-functional collaboration: Partner closely with data scientists, data engineers, and application developers to translate complex business requirements into robust technical implementations.
Required Qualifications
Active Top Secret/SCI (TS/SCI) clearance with a current Polygraph.
U.S. Citizenship is required.
Bachelor’s degree with 3 years of related experience; OR Master’s degree with 1 year of related experience; OR associate’s degree with 6 years of related experience; OR High School diploma/GED with 9 years of related experience.
Experience performing extract, transformation, load (ETL) development for data pipelines (specifically cyber data); to include integrating, cleansing, and preparing data from sources for analytics and reporting.
Proficient in data warehousing, data management, programming (e.g., Python), and ETL tools (e.g., Apache NiFi, Pentaho, Kafka).
Familiarity with the cyber domain.
Experience designing and maintaining SQL-based data systems and crafting complex queries.
Experience designing and deploying interactive dashboards and integrating data systems with visualization and analytics platforms using Tableau and/or Power BI.
Experience with a cloud environment (e.g., GCP, AWS), including its security containerization technologies (e.g., Docker, Kubernetes).
Language experience with Python.
Experience with Git-based workflows and code repository platforms such as GitHub.
Ability to perform API service development.
#HighlyCleared
Desired Qualifications
Experience with Hadoop and Spark
Experience with Elasticsearch
Experience with open-source cyber data sets such as Shodan and Censys.IO
Experience with creating and implementing Artificial Intelligence (AI) models and tools
Overview
Overview
Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation’s toughest challenges, delivering advanced solutions to our customers’ most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.
We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org
Why Work at Noblis
At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission‑driven professionals who care deeply about doing work that enriches lives and makes our nation safer.
Noblis has earned numerous workplace awards for our culture, our commitment to employee well‑being, and our dedication to meaningful, impactful work. We also maintain a drug‑free workplace.
Remote/hybrid status is subject to change based on Noblis and/or government requirements.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
EEO is the Law | E-Verify | Right to Work
Total Rewards
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis’ total compensation package.
Posted Salary Range
USD $90,700.00 - USD $141,775.00 /Yr.
Noblis is seeking a fully cleared Data Engineer with a TS/SCI and a Polygraph to join our team in Reston, Virginia!
As the ETL Developer, you will analyze client challenges and develop innovative solutions by identifying and applying emerging tools and technologies to design and implement new data repositories. You will be responsible for maintaining and expanding the data pipelines that support critical national security missions, as well as managing data and data flows across both existing and new systems. Working closely with our team and cyber analysts, you will apply data engineering expertise to identify, integrate, and operationalize relevant datasets to support mission objectives.
The ideal candidate will have a strong background in Python-based data workflows and experience working in classified Intelligence Community (IC) environments. Additional experience supporting a broad range of data engineering functions, including data extraction, transformation, and loading (ETL), data mapping, data analysis, analytical support, operational support, database support, and the maintenance of data and associated systems.
Job Responsibilities
Developing, maintaining, and executing data extraction pipelines to transport data in and out of multiple environments.
ETL Development and Data Cleansing: Engineering Python-based ETL pipelines to ingest, clean, and optimize large datasets from various sources, refining data quality and processing efficiency.
Data Preparation: Applying Python and SQL for data cleaning, integration, and exploratory analysis to uncover valuable insights extracted from large volumes of data.
Data Visualization: Designing and deploying interactive dashboards and reporting in visualization tools (e.g., Tableau, Power BI)
Improving application performance by optimizing and executing SQL queries to support data handling.
Loading data into storage systems like databases or data warehouses.
Building and maintaining data infrastructure (e.g., NiFi, Pentaho, Hevo).
Maintaining and documenting ETL workflows and recording data movement/changes.
Working in an Agile environment to rapidly iterate with our clients.
Cross-functional collaboration: Partner closely with data scientists, data engineers, and application developers to translate complex business requirements into robust technical implementations.
Active Top Secret/SCI (TS/SCI) clearance with a current Polygraph.
U.S. Citizenship is required.
Bachelor’s degree with 3 years of related experience; OR Master’s degree with 1 year of related experience; OR associate’s degree with 6 years of related experience; OR High School diploma/GED with 9 years of related experience.
Experience performing extract, transformation, load (ETL) development for data pipelines (specifically cyber data); to include integrating, cleansing, and preparing data from sources for analytics and reporting.
Proficient in data warehousing, data management, programming (e.g., Python), and ETL tools (e.g., Apache NiFi, Pentaho, Kafka).
Familiarity with the cyber domain.
Experience designing and maintaining SQL-based data systems and crafting complex queries.
Experience designing and deploying interactive dashboards and integrating data systems with visualization and analytics platforms using Tableau and/or Power BI.
Experience with a cloud environment (e.g., GCP, AWS), including its security containerization technologies (e.g., Docker, Kubernetes).
Language experience with Python.
Experience with Git-based workflows and code repository platforms such as GitHub.
Ability to perform API service development.
#HighlyCleared
