Enterprise Data Engineer
About The Position
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. 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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- competitive pay
- comprehensive benefits
- meaningful opportunities for professional growth
- Robust health plan including medical, dental, and vision
- Health Savings Account with company contribution
- Annual Paid Time Off and Paid Holidays
- Paid Parental Leave
- 401k with generous company match
- Training and Development Opportunities
- Award Programs
- Variety of Company Sponsored Events
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
