Data Engineer

GRVTY•Chantilly, VA

3h•$150,000 - $250,000•Onsite

About The Position

Our team is charged with taking commercial and academic innovation high-side, in domains of Artificial Intelligence / Machine Learning (AI / ML), Natural Language Processing (NLP). We also bring the best ideas, tools, and approaches in technology infrastructure (AWS, DevOps, etc.) to the IC. The tech stack used is extremely broad - anything cutting edge in the commercial market, the open source community, or the academic research community is likely involved: and if something isn't being looked at yet, you can make that happen. This effort supports ALL missions of the Intelligence Community, including cyber-related data science missions. A seamless group of contractor and customer personnel work to create innovations that supply customer groups with the data sets, models, algorithms, software, and infrastructure they need to increase their mission success. Management is hands off, gives the team the freedom to explore new approaches, and markets the best ideas and results to all the other IC customers. This project regularly needs various types of people - Data Scientists, Data / ETL Engineers, Analytic Software Engineers, Full Stack Developers, UI/UX Developers, and AWS/DevOps experts. We're particularly interested in people with any of the following experience: Work on this program takes place throughout the Reston/Herndon/Chantilly, VA area (we cannot support remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). GRVTY is seeking a Data Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. This role, requires working with a team of developers, data scientists, SMEs, and cyber analysts to design, develop, build, and analyze data management systems. The Data Engineer will work with and analyze our client’s challenges and provide solutions by designing and implementing batch and streaming data pipelines.

Requirements

Active TS/SCI with Polygraph Clearance (applicable to this customer)
5-7 years of experience as a Data Engineer
STEM degree (field such as computer science, statistics, data analytics, computer engineering, mathematics, etc.)
Experience developing and performing ETL on large unstructured datasets
Experience with services including Apache Kafka, Apache Spark, and Prefect
Experience containerizing applications using Docker and deployments on Kubernetes
Building and maintaining CI/CD pipelines for data and platform services
Familiarity with Linux-based systems
Solid understanding of DevOps principles (automation, monitoring, reliability)