Dynamic Data Engineer

Black Cape•Arlington, VA

12d•Onsite

About The Position

Black Cape is hiring mid- to senior-level Data Engineers to help build and deploy innovative solutions for Department of Defense and Intelligence Community customers. The role ensures data availability—including data movement, modification, and storage—in collaboration with Software Engineers and Data Scientists, supporting deployments and scalability for critical users. The team develops AI and machine-learning applications for national security missions, uses Databricks for data science and engineering, and transforms model outputs into interactive dashboards. Work includes deployments on JWICS, NIPR, and SIPR using AWS, within an Agile environment. Candidates should be able to work with limited direction, show a passion for technology, and quickly learn new technologies and languages. The position requires an active Secret clearance, U.S. citizenship, and willingness to obtain a TS/SCI clearance. Onsite work is required 3–5 days per week at the Pentagon or Marks Center, or at Black Cape’s Arlington HQ office.

Requirements

At least 3 years of professional experience for most opportunities.
Python experience, including data manipulation and scripting.
Experience with Databricks.
Proficiency in designing and implementing ETL data processes.
Experience with at least one relational database, such as PostgreSQL, MySQL, or SQLite.
Experience with Agile Scrum methodologies.
Active Secret clearance issued by a U.S. Government customer and U.S. citizenship.
Willingness to obtain a TS/SCI clearance.
Ability to work onsite 3–5 days per week.
Ability to work with limited direction and quickly learn new technologies or languages.

Nice To Haves

Familiarity with database design, server management, connection protocols, database normalization, and principles of information theory.
Experience with data cleaning or data organization.
Familiarity with SQL, NoSQL, and graph databases, as well as data lakes.
Familiarity with dashboarding tools similar to Qlik.
Familiarity with cybersecurity and designing and implementing unique data transfer protocols.

Responsibilities

Ensure data availability through data movement, modification, and storage.
Collaborate with Software Engineers and Data Scientists to support deployments and scalability for critical users.
Build and deploy data capabilities for AI and machine-learning applications supporting national security missions.
Use Databricks for data engineering and data science workflows.
Transform complex model outputs into interactive dashboards.
Develop and support deployments on JWICS, NIPR, and SIPR utilizing AWS.