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Black Cape

Defense-focused software, analytics, ML solutions.

Data Engineer Senior

Data EngineeringPosted on Nov 5
Full-timeNo salary listed

About the Job

Requirements

  • At least 3 years of professional experience is required for most opportunities.
  • Experience using Python for data manipulation and scripting.
  • Experience with Databricks.
  • Proficiency 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.
  • Ability to work with limited direction and learn new technologies or programming languages quickly.
  • Must have an active TS/SCI clearance.
  • Must be a U.S. citizen and have a security clearance issued by a U.S. Government customer.

Responsibilities

  • Ensure data availability through data movement, modification, and storage in collaboration with software engineers and data scientists, supporting deployment and scalability.
  • Help build and deploy innovative data engineering solutions for customers.
  • Support the development and deployment of AI and machine learning applications for national security missions.
  • Use the Databricks platform for data science and engineering, and transform model outputs into interactive dashboards.
  • Develop and deploy solutions in JWICS, NIPR, and SIPR environments using AWS.
  • Deliver capabilities through an Agile environment.

Desired Qualifications

  • 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, graph databases, and data lakes.
  • Familiarity with dashboarding tools similar to Qlik.
  • Familiarity with cybersecurity and the design and implementation of unique data transfer protocols.

About the Company

Black Cape

Defense-focused software, analytics, ML solutions.

Black Cape provides analytic modernization services for federal defense and intelligence. It offers software engineering for mission applications, data analytics, and machine learning to help government analysts and operators automate workflows and derive data-driven insights. The company uses a desk-side approach, working directly with analysts and warfighters to tailor, prototype, and deploy capabilities in demanding environments, with a data-centric agile development process. It differentiates itself through hands-on, field-facing delivery, a proven track record of deploying capabilities to DoD and coalition partners, and its status as a Service-Disabled Veteran-Owned Small Business (SDVOSB) and value-added reseller (VAR). The goal is to modernize how federal agencies conduct intelligence analysis by applying novel technology and processes to address defense and intelligence data challenges and deliver practical, deployable solutions.

Company size
201-500
Company stage
Grant
Total funding
$1.3M
Headquarters
Kansas City, MO
Founded
2019

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