Data Engineer
About the job
- At least 3 years of professional experience is needed 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.
- Ensure data availability, including data movement, modification, and storage, in collaboration with Software Engineers and Data Scientists.
- Help build innovative solutions for customers as a Data Engineer.
- Build and deploy AI and machine learning applications supporting national security missions using the Databricks platform for data science and engineering.
- Transform complex model outputs into interactive dashboards.
- Deploy solutions in JWICS, NIPR, and SIPR environments using AWS and Agile practices.
- 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 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, Missouri
Founded
2019
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Simplify's Take
What believers are saying
- The May 28, 2025 CDAO award totals $45.5M, anchoring near-term revenue.
- HigherGov shows EDIS backlog of $279.2M and funded backlog of $22.5M.
- LinkedIn and blackcape.io list active Arlington and Austin operations as of September 2026.
What critics are saying
- Black Cape’s 47QFLA25F0086 GSA task order expires September 25, 2026.
- PrimeRFP tracks $7.9M in recompetes within 24 months, exposing fragile revenue.
- A lost CDAO or EDIS recompete in 2026 would cripple this small defense contractor.
What makes Black Cape unique
- Black Cape pairs SDVOSB status with intelligence-community veterans and desk-side analyst workflows.
- May 28, 2025 CDAO award proves credibility in defense AI sustainment, not demos.
- Its August 2025 EDIS IDIQ targets mission applications and data integration for federal analysts.
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Benefits
Parental Leave
Tuition Reimbursement
Mentorship Program
Professional Development Budget
Growth & Insights and Company News
6 month growth
↓ -3%1 year growth
↓ -3%2 year growth
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Data analytics and machine learning company Black Cape has promoted Mike Santamaria to executive vice president and Claire Rich and Justin Shelton to software engineering directors as part of efforts to expand its leadership team.