You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Early Window: Be the first to open itNo views yetCloses in
Company hidden

Data Engineer

  • Office
  • 3-6 years

Salary

Not stated

Similar roles pay $145K - 235K a year · our estimate

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

About Rune

The company builds mission-critical software for military logistics and sustainment. Our flagship product is TyrOS, an AI-enabled logistics command and control platform that gives commanders a single, real-time operating picture of their sustainment fight, from inventory and distribution to medical and operational planning, even in degraded and contested environments.

We're not a traditional defense contractor. We're a small, fast-moving team that combines deep operational experience in and with the DoD with the software discipline of the best product companies, and we apply that combination to a customer set that desperately needs it. We stay close to our users by embedding directly with military units during exercises and rotations, and we ship constantly based on what we learn.

The U.S. military and its allies face a real logistics modernization problem. We're building the software to solve it.

About the Role

At the company, we are building the logistics technology backbone that the U.S. and allied militaries need to operate and sustain forces in complex environments. As a Data Engineer at Rune, you will work at the intersection of data engineering, data analysis, and practical development to make sure every TyrOS deployment has the data it needs to support real-world logistics operations.

You’ll own the picture of what data each TyrOS instance needs, what is currently loaded, where data comes from, and where the gaps are. You’ll work closely with Forward Deployed Engineers (FDEs) and Mission Managers, including in forward-deployed environments, to understand customer requirements and turn them into concrete data needs. This is a hands-on role for someone who is comfortable working with messy real-world data, operating independently with incomplete inputs, and creating the systems and processes needed to keep many deployments organized.

Responsibilities

  • Own the map of what data each TyrOS deployment needs, what is currently loaded, and what data shortfalls remain.
  • Assemble, clean, join, transform, and quality-control real-world datasets to support TyrOS deployments.
  • Track data sources, requirements, loaded status, and gaps across multiple deployments and maintain a trusted, current source of truth.
  • Work closely with 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 and development efforts.
  • Travel approximately 25% and work forward-deployed at customer and military sites, including travel to the West Coast and Hawaii.

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 the 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, such as Databricks, Snowflake, BigQuery, or 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 is not required, but trainability is valuable.
  • Strong engineering instincts in addition to data skills, with the ability to grow into broader data engineering or development responsibilities.

Benefits

  • Rune offers top-tier benefits for full-time employees to include a full suite of insurance options at no cost for employees and low-cost to spouses and dependents. Highly competitive equity grants are also included in the majority of full time offers and are considered part of Rune's total compensation package. Benefits include:
  • Comprehensive medical, dental, and vision plans; premiums 100% covered by Rune for all employees; exceptionally low premiums for spouses and dependents
  • Basic life insurance and disability 100% covered for all employees by Rune; option to purchase additional life insurance available
  • ‘Take the time off that you need, when you need it’ paid time off, not accrual based
  • Generous company holiday calendar including a holiday shutdown in December
  • Supportive leave of absence program including time off for military service, medical events, and parental leave
  • Full 401(k) retirement plan for all full-time eligible employees
  • Free access to on-site gym at office

Where you’d work

From the office

About the company

Company hidden

Office in Seattle, United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 16 checks run
  • 5 good signs
  • 0 red flags

Still hiring?

11 checks

Actively hiring

In its favour2

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence

How crowded?

5 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • In the office in Seattle: only people nearby can take itSlight evidence
  • Asks for BigQuery, which fewer than 1% of open roles doSlight evidence

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • Snowflake
  • BigQuery
Type
Full-time
Equity
Equity offered
Specialty
Data Engineering
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Experience
4+ years
Tech stack
  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • Snowflake
  • BigQuery

Location

Work model
Office
Region
United States
Office
  • Seattle, United States

Compensation

Salary
Salary by agreement
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    PIPELINE

    $240,000 - 370,000 / year

    • Office · Boston
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Data Engineer 4

    $195,000 - 230,000 / year

    • Office · US
    • Senior

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason