
51 - 200 employees
Founded 2007
🎖️ Defense
🔒 Cybersecurity
🤖 Artificial Intelligence
Defense • Cybersecurity • Artificial Intelligence
Zapata Technology is a veteran-owned small business (VA-verified VOSB) founded in 2007 that provides AI-powered cybersecurity, software engineering, and data analytics solutions to the U. S. Department of Defense and federal intelligence community. The company combines former military expertise with commercial technology and holds Top Secret/SCI facility clearance; its proprietary products (CASCADE, LIGHTNER, ZIngest, ZMonitor) are deployed in Army and special-operations intelligence operations. Zapata emphasizes mission-focused software development, AI/ML frameworks, object recognition, data ingestion, and monitoring to protect and analyze mission-critical systems and data for defense customers.
🕒 May 14
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51 - 200 employees
Founded 2007
🎖️ Defense
🔒 Cybersecurity
🤖 Artificial Intelligence
Defense • Cybersecurity • Artificial Intelligence
Zapata Technology is a veteran-owned small business (VA-verified VOSB) founded in 2007 that provides AI-powered cybersecurity, software engineering, and data analytics solutions to the U. S. Department of Defense and federal intelligence community. The company combines former military expertise with commercial technology and holds Top Secret/SCI facility clearance; its proprietary products (CASCADE, LIGHTNER, ZIngest, ZMonitor) are deployed in Army and special-operations intelligence operations. Zapata emphasizes mission-focused software development, AI/ML frameworks, object recognition, data ingestion, and monitoring to protect and analyze mission-critical systems and data for defense customers.
• Own the design and evolution of our ETL and data pipeline architecture • Replace fragile VBA and ad-hoc scripts with robust, testable data workflows • Design high-performance Postgres data models, queries, and stored procedures • Build ingestion and transformation services using Python, ASP.NET, and SQL • Lead the migration from custom ETL processes to modern tools (NiFi, Airflow) • Create data pipelines that power analytics, reporting, and operational systems • Improve data quality, observability, and governance across the platform • Partner with stakeholders to translate messy requirements into clean data solutions • Document and automate everything so the system scales beyond any one person
• 4+ years of software or data engineering experience • Strong experience building ETL/data pipelines without relying solely on ETL tools • Deep SQL and Postgres performance tuning experience • Experience writing data services in Python, C#, or ASP.NET • Experience modernizing legacy data environments • Comfort owning architecture decisions and working independently • Experience migrating systems to AWS • Familiarity with Spark, Databricks, or distributed processing is a plus • Shell scripting and automation experience • Experience working in Agile teams
• Referral Eligible • Equal Opportunity Employer • Reasonable accommodation for applicants who are veterans or who have disabilities
Apply Now🕒 May 14
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