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Rune Technologies builds mission-critical software for military logistics and sustainment. TyrOS is an AI-enabled logistics command and control platform that provides commanders with real-time visibility into sustainment operations, from inventory and distribution to medical and operational planning, even in degraded and contested environments.
As a Data Engineer at Rune, you will work at the intersection of data engineering, data analysis, and practical development to ensure every TyrOS deployment has the data needed to support real-world logistics operations. You'll own the complete picture of what data each TyrOS instance requires, what is currently loaded, where data originates, and where gaps exist.
Key responsibilities include:
• Own and maintain a comprehensive map of data requirements, current status, and shortfalls across multiple TyrOS deployments.
• Assemble, clean, join, transform, and quality-control real-world datasets to support deployments.
• Track data sources, requirements, loaded status, and gaps across deployments, maintaining a trusted source of truth.
• Work closely with Forward Deployed Engineers (FDEs) and Mission Managers to understand customer requirements and translate them into concrete data needs.
• Identify discrepancies and shortfalls in data, investigate root causes, and drive issues toward resolution.
• Build repeatable standards and processes for data assembly, tracking, and quality control across new deployments.
• Use Python and SQL to perform hands-on data analysis, processing, and automation of recurring data work.
• Work independently through ambiguous or incomplete inputs, building organizational systems to manage competing data needs.
• Identify opportunities to automate recurring data work and contribute to broader data engineering efforts.
• Travel approximately 25% and work forward-deployed at customer and military sites, including travel to the West Coast and Hawaii.
This is a hands-on role for someone comfortable working with messy real-world data, operating independently with incomplete inputs, and creating systems and processes to keep many deployments organized. Rune is a small, fast-moving team combining deep operational experience with the DoD with software discipline from best-in-class product companies. The team stays close to users by embedding directly with military units during exercises and rotations.
REQUIREMENTS:
• 2–4 years of experience in data analysis, data engineering, quantitative research, or analytics-heavy work
• Python is a must-have, with demonstrated experience working directly with real-world data
• Strong SQL skills and experience with a scripting or data-processing toolset
• Experience assembling, cleaning, joining, transforming, and quality-controlling tabular data
• Strong organizational capacity and ownership across multiple deployments and changing data needs
• Clear written communication and ability to document data status, shortfalls, and requirements
• Ability to work independently with ambiguous or incomplete inputs
• Willingness to travel approximately 25% and work forward-deployed at customer and military sites
• Security clearance or ability to obtain one; exact clearance level and sponsorship process to be confirmed
DESIRED QUALIFICATIONS:
• Palantir Foundry or comparable data-platform experience (Databricks, Snowflake, BigQuery, AWS/Azure data stacks)
• Experience with data pipelines, ETL, external data integrations, and reference-data management
• Experience with defense, government, regulated, or field data, including military or operational datasets
• Go experience
• Database or DBA experience
• Geospatial or maps exposure; direct maps experience not required, but trainability is valuable
• Strong engineering instincts in addition to data skills, with ability to grow into broader data engineering or development responsibilities
