Driven Data Engineer (2+ years - Senior Level)

Black Cape•Arlington, VA

2d•Hybrid

About The Position

Black Cape is a technology company focused on full-stack web applications, advanced data analysis tools, and integrating AI/ML capabilities for federal government customers. We are seeking exceptional Data Engineers to ensure data availability (movement, modification, and storage) by collaborating with Software Engineers and Data Scientists to ensure deployments and scalability for critical users. Our team builds and deploys cutting-edge AI and Machine Learning applications that directly support national security missions. We leverage the Databricks platform for advanced data science and engineering, and transform complex model outputs into compelling, interactive dashboards using Qlik. These solutions are built to empower 19 key Principal Staff members (Senior Executive Service members and General Officers) within the Office of the Undersecretary of Defense (OUSD) and the Intelligence community. Our products provide them with the critical, data-driven insights needed for strategic decision-making. Our work is grounded in successful deployments on JWICS, NIPR, SIPR utilizing AWS, combining commercial best practices in an Agile environment to ensure we deliver impactful capabilities to senior defense leadership.

Requirements

Active TS/SCI clearance
US Citizenship
3+ years of professional experience
Python experience with data manipulation, scripting, and more
Databricks experience
Proficient in designing and implementing Extract Transform Load (ETL) data processes
Experience with at least ONE relational database, such as PostgreSQL, MySQL or SQLite
Experience with Agile SCRUM methodologies
Limited direction needed
Passionate about technology
Willingness and desire to pick up new technologies or languages quickly

Nice To Haves

Familiar with database design, server management, connection protocols, database normalization, and principles of information theory
Experience with data cleaning or data organization
Familiar with NiFi, SQL, NoSQL and Graph Databases and Data Lakes
Familiar with Dashboarding tools similar to Qlik
Familiar with Cybersecurity with design and implementation of unique data transfer protocols

Responsibilities

Ensure data availability (movement, modification, and storage)
Collaborate with Software Engineers and Data Scientists to ensure deployments and scalability for critical users
Build and deploy cutting-edge AI and Machine Learning applications
Leverage the Databricks platform for advanced data science and engineering
Transform complex model outputs into compelling, interactive dashboards using Qlik
Design and implement Extract Transform Load (ETL) data processes
Work with relational databases
Apply Agile SCRUM methodologies