Enterprise Data Engineer
GRVTY
| Company | GRVTY |
| Category | Engineering |
| Location | Chantilly |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 9 Jul 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
What Impact You'll Have
GRVTY provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
What You'll be Owning
GRVTY is seeking an Enterprise Data Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. The successful Enterprise Data Engineer must be a skilled and detail-oriented professional with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured data from various sources. They must have a strong background in data engineering and a deep understanding of ETL processes.
In this role you will:
Write robust and efficient Python and SQL scripts to automate data processing tasks
Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems
Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability
Ensure data structures are optimized for performance and scalability
Provide technical guidance and support to ensure effective use of Palantir tools across teams
Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets
Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems
Ensure proper data transformation and curation to meet business and analytics requirements
Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes
What You Must Have
Active TS/SCI with Polygraph Clearance (applicable to this customer)
3+ years of experience in data engineering
Strong proficiency in scripting and programming with Python
Expertise in working with SQL for data querying, transformation, and optimization
Experience with data integration from diverse sources such as APIs, relational databases, and file systems
Strong analytical and problem-solving skills with attention to detail
Excellent communication and teamwork skills to collaborate with technical and business teams
What Would be Nice to Have
Bachelor’s degree in Computer Science, Data Engineering, or a related field
Hands-on experience with Palantir
Experience with cloud platforms(e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop)
Familiarity with data orchestration toolssuch as Apache Airflow, Prefect, or similar
#LI-BPJ
Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.
Virginia Pay Range $150,000 — $200,000 USD Why Choose GRVTY
The toughest national security challenges demand vision and ingenuity, not just resources. We d